Working notes on analytics engineering, dbt, BigQuery, marketing data, and AI agents.https://adriennevermorel.com/en-ushttps://adriennevermorel.com/notes/attribution-analysis-hub/https://adriennevermorel.com/notes/attribution-analysis-hub/A structured guide to marketing attribution — from SQL implementation patterns through multi-model comparison, dashboard design, and incrementality testingSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/attribution-channel-grouping-strategy/https://adriennevermorel.com/notes/attribution-channel-grouping-strategy/How to group marketing channels for data-driven attribution -- balancing granularity against data sparsity to produce stable, actionable model resultsSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/attribution-lookback-windows/https://adriennevermorel.com/notes/attribution-lookback-windows/How to set attribution lookback windows by industry and purchase cycle -- benchmarks, consequences of wrong windows, and implementation in SQLSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/attribution-touchpoint-table-design/https://adriennevermorel.com/notes/attribution-touchpoint-table-design/How to design and build the touchpoint table that all attribution models consume -- field requirements, identity considerations, and the intermediate dbt model that maps raw events to attribution-ready rowsSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-clustering-mechanics/https://adriennevermorel.com/notes/bigquery-clustering-mechanics/How BigQuery clustering sorts data within storage blocks, why column order matters critically, and how automatic re-clustering works at no cost.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-partitioning-and-clustering-hub/https://adriennevermorel.com/notes/bigquery-partitioning-and-clustering-hub/A structured reading path for understanding BigQuery partitioning and clustering -- mechanics, decision framework, configuration patterns, and anti-patterns.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-partitioning-configuration-patterns/https://adriennevermorel.com/notes/bigquery-partitioning-configuration-patterns/Domain-specific partitioning and clustering configurations for BigQuery in dbt -- event data, marketing, multi-tenant SaaS, and IoT patterns with rationale.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-partitioning-mechanics/https://adriennevermorel.com/notes/bigquery-partitioning-mechanics/How BigQuery partitioning physically divides tables, the three partitioning types, key constraints, and when partition pruning does and doesn't work.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-partitioning-vs-clustering-decision-framework/https://adriennevermorel.com/notes/bigquery-partitioning-vs-clustering-decision-framework/A practical decision framework for choosing between BigQuery partitioning, clustering, or both based on table size, query patterns, and operational needs.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-authentication-options/https://adriennevermorel.com/notes/claude-code-authentication-options/The two ways to authenticate Claude Code — subscription OAuth and API keys — when to use each, and the precedence rule that trips people upSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-bang-prefix-for-shell-commands/https://adriennevermorel.com/notes/claude-code-bang-prefix-for-shell-commands/Using the ! prefix to run shell commands directly inside Claude Code — how it saves tokens, speeds up authentication, and keeps your flow uninterruptedSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-behind-the-scenes/https://adriennevermorel.com/notes/claude-code-behind-the-scenes/What commands Claude Code actually runs when it explores code, searches for patterns, edits files, and manages git — understanding the mechanics builds confidence and helps you learnSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-cli-basics/https://adriennevermorel.com/notes/claude-code-cli-basics/Installation, essential CLI flags, built-in slash commands, and how to read Claude Code's output — the practical starting point for new usersSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-first-hour-hub/https://adriennevermorel.com/notes/claude-code-first-hour-hub/A sequenced reading path for getting started with Claude Code as an analytics engineer — from installation through your first useful outputSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-model-selection-for-analytics-work/https://adriennevermorel.com/notes/claude-code-model-selection-for-analytics-work/When to use Sonnet vs Opus in Claude Code for analytics engineering — daily work defaults, complex problem escalation, and practical cost-speed tradeoffsSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-status-line-configuration/https://adriennevermorel.com/notes/claude-code-status-line-configuration/How to set up Claude Code's status line to display git branch, active model, and context usage — practical setup for analytics engineersSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-contract-adoption-friction/https://adriennevermorel.com/notes/data-contract-adoption-friction/Reducing the friction that kills data contract adoption: SDK-based onboarding, audience-specific messaging, post-mortem data as leverage, and the Data Product Manager role.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-contract-anti-patterns/https://adriennevermorel.com/notes/data-contract-anti-patterns/Where data contract initiatives go wrong: misplaced enforcement, paper-only contracts, one-size-fits-all implementations, and unfunded ownership.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-contract-rollout-change-management/https://adriennevermorel.com/notes/data-contract-rollout-change-management/The organizational change management strategy for data contracts: start with two datasets, create urgency through visible cost, and measure conversations rather than coverage.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-contracts-hub/https://adriennevermorel.com/notes/data-contracts-hub/Hub note connecting garden notes on data contracts — definitions, specifications, ownership, tooling, validation layers, and adoption challenges.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-attribution-packages-landscape/https://adriennevermorel.com/notes/dbt-attribution-packages-landscape/Open-source dbt packages and Python libraries for production-ready attribution models -- Snowplow, Tasman, Rittman Analytics, ChannelAttribution, and when to build your ownSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-observe-fix-remediation-pattern/https://adriennevermorel.com/notes/dbt-observe-fix-remediation-pattern/How to embed self-healing logic directly in the dbt DAG by detecting problems in base models and applying fixes in downstream layers.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-testing-anti-patterns/https://adriennevermorel.com/notes/dbt-testing-anti-patterns/Four common testing mistakes in dbt projects -- over-testing, happy-path-only coverage, drifting thresholds, and testing warehouse functions -- and what to do instead.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-testing-pyramid/https://adriennevermorel.com/notes/dbt-testing-pyramid/The layered testing pyramid for dbt projects -- broad data test coverage at the base, targeted unit tests in the middle, anomaly detection and data diffs at the top.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-testing-decision-framework/https://adriennevermorel.com/notes/dbt-testing-decision-framework/A three-question framework and decision tree for choosing the right dbt testing approach — unit tests, generic tests, singular tests, dbt-expectations, Elementary, or dbt-audit-helper.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-test-ci-cd-workflow/https://adriennevermorel.com/notes/dbt-unit-test-ci-cd-workflow/A production-ready GitHub Actions workflow for running dbt unit tests on BigQuery — unique CI datasets, the --empty flag, cost optimization, and production exclusion.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-test-cli-commands/https://adriennevermorel.com/notes/dbt-unit-test-cli-commands/How to run, filter, debug, and exclude dbt unit tests from the command line — including output interpretation and production exclusion patterns.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-test-edge-case-patterns/https://adriennevermorel.com/notes/dbt-unit-test-edge-case-patterns/Three essential edge case patterns for dbt unit tests — null handling, empty tables with format: sql, and date boundary testing.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-test-file-organization/https://adriennevermorel.com/notes/dbt-unit-test-file-organization/Where to put dbt unit test files, how to name tests consistently, and the co-location pattern with _unit_tests.yml.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-test-mocking-dependencies/https://adriennevermorel.com/notes/dbt-unit-test-mocking-dependencies/How to mock refs, sources, macros, variables, and the 'this' keyword in dbt unit tests — with patterns for multi-join models and incremental overrides.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-test-patterns-hub/https://adriennevermorel.com/notes/dbt-unit-test-patterns-hub/Hub note connecting all unit test patterns for dbt — incremental models, snapshots, window functions, business logic, marketing analytics, and edge cases.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-test-yaml-syntax/https://adriennevermorel.com/notes/dbt-unit-test-yaml-syntax/Complete reference for dbt unit test YAML structure — required elements, input formats (dict, csv, sql), optional configuration, and version-specific features.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-testing-implementation-hub/https://adriennevermorel.com/notes/dbt-unit-testing-implementation-hub/Hub note for implementing dbt unit tests — from YAML syntax and mocking patterns to BigQuery workarounds and CI/CD integration.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-tests-bigquery-workarounds/https://adriennevermorel.com/notes/dbt-unit-tests-bigquery-workarounds/BigQuery-specific gotchas for dbt unit tests — STRUCT completeness, ARRAY comparisons, column_transformations, slot costs, and common error solutions.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-weighted-attribution-models/https://adriennevermorel.com/notes/dbt-weighted-attribution-models/Implementing position-based and time-decay attribution in dbt with configurable weights via dbt variables — model SQL, project configuration, and revenue integrity testingSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/el-tool-schema-contract-modes/https://adriennevermorel.com/notes/el-tool-schema-contract-modes/How dlt, Fivetran, and Airbyte handle schema changes during extraction and loading — from dlt's granular freeze/evolve/discard modes to Fivetran's blunt blocking settings.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/essential-terminal-commands/https://adriennevermorel.com/notes/essential-terminal-commands/The core terminal commands for navigation, file operations, viewing content, and finding things — the foundation of terminal literacySat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/fivetran-dbt-merger-orchestration-independence/https://adriennevermorel.com/notes/fivetran-dbt-merger-orchestration-independence/Why the October 2025 Fivetran-dbt merger makes external orchestration more strategically important — vendor optionality, platform lock-in risk, and the case for controlling your orchestration layer.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-acquisition-performance-mart/https://adriennevermorel.com/notes/ga4-acquisition-performance-mart/A daily x source/medium grain mart for GA4 acquisition reporting — aggregating sessionized events into dashboard-ready metrics with conversion rates and revenue.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-cross-join-vs-left-join-unnest/https://adriennevermorel.com/notes/ga4-cross-join-vs-left-join-unnest/Why the comma syntax in FROM table, UNNEST(array) silently drops rows — and when to use LEFT JOIN UNNEST to preserve events without array data.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-dbt-unnesting-layer-architecture/https://adriennevermorel.com/notes/ga4-dbt-unnesting-layer-architecture/How to structure a dbt project for GA4 unnesting — base layer for parameter extraction, intermediate for event-specific models, mart for analytics-ready aggregations.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-ecommerce-checkout-funnel-pattern/https://adriennevermorel.com/notes/ga4-ecommerce-checkout-funnel-pattern/Session-based checkout funnel analysis from GA4 BigQuery data — counting distinct sessions at each funnel stage from view_item through purchase.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-engagement-event-query-recipes/https://adriennevermorel.com/notes/ga4-engagement-event-query-recipes/Production-ready BigQuery SQL for GA4 engagement events — page views, scroll depth, outbound clicks, file downloads, and video engagement funnels.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-first-dbt-models-hub/https://adriennevermorel.com/notes/ga4-first-dbt-models-hub/Hub note for building your first GA4 dbt models — from understanding the raw event schema through base, intermediate, and mart layers.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-flattened-events-materialization/https://adriennevermorel.com/notes/ga4-flattened-events-materialization/When and how to pre-unnest GA4 events into a flat table — the cost-performance tradeoff, the CREATE TABLE pattern, and why dbt models formalize this approach.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-unnesting-patterns-hub/https://adriennevermorel.com/notes/ga4-unnesting-patterns-hub/Hub connecting all concepts for extracting data from GA4's nested BigQuery schema — UNNEST approaches, JOIN types, engagement recipes, e-commerce funnels, and dbt architecture.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-dda-silent-fallback/https://adriennevermorel.com/notes/google-dda-silent-fallback/GA4's Data-Driven Attribution silently falls back to last-click when data thresholds aren't met -- how to detect it and why warehouse-native attribution avoids this trapSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/kestra-declarative-orchestration/https://adriennevermorel.com/notes/kestra-declarative-orchestration/Kestra's YAML-first orchestration model — how it differs from Python-decorator tools, its rapid growth, enterprise adoption, and why production evidence at small-to-mid scale is still thin.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/llm-accuracy-with-semantic-layers/https://adriennevermorel.com/notes/llm-accuracy-with-semantic-layers/Research benchmarks showing how semantic layers improve LLM accuracy on enterprise data questions from ~17% to 54-92% — the data.world study, Spider 2.0, and dbt Labs replication.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/markov-attribution-sql-implementation/https://adriennevermorel.com/notes/markov-attribution-sql-implementation/SQL patterns for extracting journey paths and calculating transition probabilities in BigQuery, the data preparation layer for Markov chain attributionSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/markov-chain-attribution/https://adriennevermorel.com/notes/markov-chain-attribution/How Markov chains model customer journeys as state transitions to calculate data-driven attribution through transition probabilities and the removal effectSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/orchestration-market-landscape-2026/https://adriennevermorel.com/notes/orchestration-market-landscape-2026/Where each major data orchestrator stands in 2026 — Airflow's scale, Dagster's dbt dominance, Prefect's developer velocity, Kestra's rapid rise, and the tools in decline.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/organizing-dbt-unit-tests-at-scale/https://adriennevermorel.com/notes/organizing-dbt-unit-tests-at-scale/Tag strategies, CI pipeline tiers, and selection patterns for managing hundreds of dbt unit tests across a growing project.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/pipeline-enforcement-layer-strategy/https://adriennevermorel.com/notes/pipeline-enforcement-layer-strategy/The four-layer model for data contract enforcement across the full pipeline — pre-warehouse, post-load, transformation, and continuous observability — with practical adoption ordering.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/pipeline-retry-catch-up-patterns/https://adriennevermorel.com/notes/pipeline-retry-catch-up-patterns/How to configure retries, exponential backoff, and catch-up mechanisms in data pipelines so that transient failures resolve themselves without human intervention.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/privacy-sandbox-collapse/https://adriennevermorel.com/notes/privacy-sandbox-collapse/How Google's Privacy Sandbox went from the industry's best hope for a cookie replacement to a quiet retirement — the timeline, what survived, and why it sealed the case for server-side infrastructure.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/position-based-attribution-models/https://adriennevermorel.com/notes/position-based-attribution-models/U-shaped and W-shaped attribution models that weight credit by journey position — formulas, edge cases, industry weight variations, and BigQuery SQL implementationSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/removal-effect-in-attribution/https://adriennevermorel.com/notes/removal-effect-in-attribution/The removal effect measures how much conversion probability drops when a channel is removed -- the mathematical foundation of both Markov chain and Shapley value attributionSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-account-hierarchy-recursive-cte/https://adriennevermorel.com/notes/salesforce-account-hierarchy-recursive-cte/How to resolve Salesforce's self-referential ParentAccountId into a flattened hierarchy using recursive CTEs in BigQuery — the SQL pattern, ultimate parent resolution, and revenue rollup.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-bigquery-pipeline-hub/https://adriennevermorel.com/notes/salesforce-bigquery-pipeline-hub/Hub note for the Salesforce-to-BigQuery pipeline — from ingestion tool selection through polymorphic resolution, stage tracking, account hierarchies, and activity timelines.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-ingestion-tool-selection/https://adriennevermorel.com/notes/salesforce-ingestion-tool-selection/Choosing between Fivetran, Airbyte, dlt, Hevo, and custom Python for Salesforce extraction — connector mechanics, cost realities, and the AppExchange dispute.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-opportunity-stage-duration/https://adriennevermorel.com/notes/salesforce-opportunity-stage-duration/How to calculate time spent in each pipeline stage using OpportunityFieldHistory and LEAD window functions — the SQL pattern, downstream analysis, and win rate metrics.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-person-accounts-multi-currency/https://adriennevermorel.com/notes/salesforce-person-accounts-multi-currency/Two Salesforce data model quirks that break standard warehouse patterns — Person Accounts that merge Account and Contact, and multi-currency orgs that require exchange rate conversion in dbt.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-polymorphic-relationship-resolution/https://adriennevermorel.com/notes/salesforce-polymorphic-relationship-resolution/How to resolve Salesforce's WhoId and WhatId polymorphic foreign keys in the warehouse using ID prefix routing — the pattern, the SQL, and where it recurs.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-unified-activity-timeline/https://adriennevermorel.com/notes/salesforce-unified-activity-timeline/Combining Salesforce Tasks and Events into a single activity timeline with consistent column naming and polymorphic entity resolution.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/schema-registry-for-contract-enforcement/https://adriennevermorel.com/notes/schema-registry-for-contract-enforcement/How schema registries enforce data contracts on event streams before data reaches the warehouse — compatibility modes, CEL validation rules, and production practices.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-record-type-partitioning/https://adriennevermorel.com/notes/salesforce-record-type-partitioning/How to handle Salesforce RecordTypeId in the warehouse — filtering by record type in base models, splitting objects into separate models, and storing IDs in dbt vars.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/self-healing-pipeline-maturity-spectrum/https://adriennevermorel.com/notes/self-healing-pipeline-maturity-spectrum/Five levels of self-healing capability in data pipelines, from basic retries to fully agentic systems, and where production value actually concentrates.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/self-healing-risk-tiering/https://adriennevermorel.com/notes/self-healing-risk-tiering/A framework for deciding which pipeline failures can self-heal automatically, which need human approval, and which should never be auto-remediated.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/semantic-layer-adoption-readiness/https://adriennevermorel.com/notes/semantic-layer-adoption-readiness/When to invest in a semantic layer, what barriers you'll face, and how to start small — a practical readiness assessment based on team size, tooling maturity, and organizational commitment.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/server-side-tracking-data-quality-evidence/https://adriennevermorel.com/notes/server-side-tracking-data-quality-evidence/The quantitative case for server-side tracking — the 41% average data quality improvement, case studies from Finobo, Forward Media, and seoplus+, ad platform Conversions API adoption, and the cost-benefit calculation that has flipped.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/shapley-value-attribution/https://adriennevermorel.com/notes/shapley-value-attribution/How cooperative game theory's Shapley values produce provably fair attribution by calculating each channel's average marginal contribution across all possible channel coalitionsSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/soda-data-contract-verification/https://adriennevermorel.com/notes/soda-data-contract-verification/How Soda's contract engine validates schema, freshness, and quality rules against warehouse tables after loading but before transformation — filling the gap between EL and dbt.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/terminal-cross-platform-setup/https://adriennevermorel.com/notes/terminal-cross-platform-setup/How to set up and use the terminal on macOS, Linux, and Windows — including WSL, Git Bash, and PowerShell options with a command equivalence tableSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/terminal-fundamentals/https://adriennevermorel.com/notes/terminal-fundamentals/What the terminal actually is, how it differs from a shell, and the working directory mental model that makes navigation intuitiveSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/terminal-safety-for-beginners/https://adriennevermorel.com/notes/terminal-safety-for-beginners/Which terminal commands are safe, which are dangerous, how to read error messages, and the keyboard shortcuts that save you when something goes wrongSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/triangulated-marketing-measurement/https://adriennevermorel.com/notes/triangulated-marketing-measurement/Why resilient marketing measurement combines three approaches -- multi-touch attribution for daily optimization, media mix modeling for strategic allocation, and incrementality testing for causal validationSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/time-decay-attribution-model/https://adriennevermorel.com/notes/time-decay-attribution-model/Time-decay attribution using exponential decay with a configurable half-life — the formula, choosing half-life by industry, BigQuery SQL implementation, and parameterizationSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/try-heal-retry-pattern/https://adriennevermorel.com/notes/try-heal-retry-pattern/How to add AI-powered remediation to data pipelines using structured LLM output, Pydantic schemas, and circuit breakers, with production examples using Claude.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-testing-attribution-models-in-dbt/https://adriennevermorel.com/notes/unit-testing-attribution-models-in-dbt/How to unit test first-touch, last-touch, and multi-touch attribution in dbt — multi-session journeys, single-touch conversions, and the no-conversion exclusion pattern.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-testing-case-when-boundary-logic-in-dbt/https://adriennevermorel.com/notes/unit-testing-case-when-boundary-logic-in-dbt/Systematic boundary testing for CASE WHEN statements — testing threshold values, just-under values, null handling, and implicit ELSE behavior.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-testing-conversion-funnels-in-dbt/https://adriennevermorel.com/notes/unit-testing-conversion-funnels-in-dbt/How to unit test funnel analysis models in dbt — step-over-step conversion rates, user drop-off tracking, and the step-skipping edge case.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-testing-ga4-sessionization/https://adriennevermorel.com/notes/unit-testing-ga4-sessionization/How to unit test GA4 sessionization logic in dbt — session boundary detection, cross-midnight sessions, microsecond timestamps, and single-event sessions.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-testing-incremental-models-in-dbt/https://adriennevermorel.com/notes/unit-testing-incremental-models-in-dbt/The dual-mode testing pattern for incremental models — overriding is_incremental, mocking this, and understanding that expect blocks show inserts, not final state.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-testing-snapshot-consumers-in-dbt/https://adriennevermorel.com/notes/unit-testing-snapshot-consumers-in-dbt/Three strategies for testing snapshot-related logic — pre-snapshot base models, SCD2 date range calculations in downstream models, and change detection hashing.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-testing-string-extraction-in-dbt/https://adriennevermorel.com/notes/unit-testing-string-extraction-in-dbt/How to unit test regex and string manipulation logic in dbt — edge case documentation, graceful failure handling, and regression protection for fragile parsing.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-testing-window-functions-in-dbt/https://adriennevermorel.com/notes/unit-testing-window-functions-in-dbt/How to design test data that validates window function partitioning, ordering, and framing — with patterns for ROW_NUMBER, FIRST_VALUE, cumulative sums, and deliberate out-of-order inputs.Sat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/warehouse-attribution-data-sources/https://adriennevermorel.com/notes/warehouse-attribution-data-sources/The three categories of data required for warehouse-based attribution -- website interactions, ad platform spend, and conversions -- with platform-specific loading patterns and common data quality trapsSat, 28 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ad-platform-metric-divergence/https://adriennevermorel.com/notes/ad-platform-metric-divergence/Why impressions, clicks, and conversions mean different things on Google, Meta, and LinkedIn — and why pretending they're equivalent produces misleading cross-platform reports.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/advertising-data-warehouse-guide/https://adriennevermorel.com/notes/advertising-data-warehouse-guide/Hub note for the complete guide to centralizing advertising data — from the measurement problem through extraction, pipeline challenges, and dbt transformation patternsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/agent-dashboard-scraping-fragility/https://adriennevermorel.com/notes/agent-dashboard-scraping-fragility/How browser automation works for dashboards without APIs, the five-step scraping loop, session management patterns, and why silent failure is the central limitation that makes this a fallback of last resort.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/agent-first-cli-design-principles/https://adriennevermorel.com/notes/agent-first-cli-design-principles/Seven principles for building CLIs that AI agents can consume reliably — from Justin Poehnelt's design of the Google Workspace CLI, with implications for any tool targeting agent consumers.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/agent-skill-supply-chain-attacks/https://adriennevermorel.com/notes/agent-skill-supply-chain-attacks/How malicious skills in agent ecosystems like ClawHub bypass traditional antivirus detection, why natural-language malware is a fundamentally different threat class, and how to evaluate skills before installing them.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/agentic-ai-fit-for-data-work/https://adriennevermorel.com/notes/agentic-ai-fit-for-data-work/Why data engineering is structurally well-suited for agentic AI tools — repetitive patterns, multi-language context-switching, and cross-layer debugging make the case.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/agentic-workflow-shift-in-data-engineering/https://adriennevermorel.com/notes/agentic-workflow-shift-in-data-engineering/How agentic AI tools change the data engineering workflow from manual template adaptation to describe-and-review — and why the real shift is from syntax to modeling decisions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-agent-data-quality-maturity-levels/https://adriennevermorel.com/notes/ai-agent-data-quality-maturity-levels/An honest assessment of which AI agent capabilities for dbt data quality are production-ready, which require significant work but are achievable, and which are still too unreliable to depend on.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-agent-gcp-auth-constraints/https://adriennevermorel.com/notes/ai-agent-gcp-auth-constraints/How Claude Code, Codex, and Cursor each handle GCP authentication — and where each one breaks when tokens expire, contexts conflict, or interactive flows are required.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-dbt-judgment-failures/https://adriennevermorel.com/notes/ai-dbt-judgment-failures/The category of mistakes AI makes in dbt projects that aren't syntax errors — wrong joins, rebuilt existing assets, wrong layer sourcing — and why they require business context that no prompt can fully provide.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-agent-regulatory-exposure-data-teams/https://adriennevermorel.com/notes/ai-agent-regulatory-exposure-data-teams/Why running AI agents against client data creates contractual and regulatory exposure for data teams — GDPR, data processing agreements, the open-source liability argument, and what the Dutch DPA warning actually means.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-personal-crm-pattern/https://adriennevermorel.com/notes/ai-personal-crm-pattern/Using an AI agent to auto-scan email and calendar for contact relationship tracking — how the pattern works, what SQLite with vector embeddings enables, and why this is the highest-risk integration to configure carefully.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-query-cost-control-for-bigquery-mcp/https://adriennevermorel.com/notes/ai-query-cost-control-for-bigquery-mcp/Managing the cost and safety risks of AI assistants running BigQuery queries through MCP — cost mitigation, write protection, and practical guardrails.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/airbyte-pricing-and-self-hosting-costs/https://adriennevermorel.com/notes/airbyte-pricing-and-self-hosting-costs/Airbyte's February 2025 capacity-based pricing model and the hidden infrastructure costs of self-hosting — NAT Gateway, Kubernetes overhead, and what 'free' actually costs.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/analytics-engineer-as-director-of-ai/https://adriennevermorel.com/notes/analytics-engineer-as-director-of-ai/The role identity shift as agents take over execution — from producing analytical work to directing it. What stays human, what moves to agents, and how to think about your own value in the transition.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/analytics-engineer-skills-in-the-agent-era/https://adriennevermorel.com/notes/analytics-engineer-skills-in-the-agent-era/Seven skills worth investing in now that agents handle execution — AI orchestration, specification engineering, critical code review, domain expertise, governance, systems thinking, and tool fluency.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/asset-centric-orchestration/https://adriennevermorel.com/notes/asset-centric-orchestration/The paradigm shift from task-based orchestration (what to run) to asset-based orchestration (what data should exist) — why it matters for analytics engineers and how it changes debugging, monitoring, and pipeline design.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/attribution-dashboard-design/https://adriennevermorel.com/notes/attribution-dashboard-design/How to design attribution dashboards for multiple audiences — essential metrics, audience-tiered hierarchy, Looker Studio implementation patterns, and working around BI tool limitationsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/attribution-model-disagreement-as-signal/https://adriennevermorel.com/notes/attribution-model-disagreement-as-signal/Why running multiple attribution models in parallel reveals more than any single model, and how to use the disagreement between them to communicate uncertainty and drive better decisionsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/base-model-generation-with-claude-code/https://adriennevermorel.com/notes/base-model-generation-with-claude-code/How to use Claude Code to generate dbt base models — the pattern-replication workflow, prompting constraints, and CLAUDE.md defaults that eliminate inconsistency.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bi-tool-migration-and-portability/https://adriennevermorel.com/notes/bi-tool-migration-and-portability/Switching costs between BI tools depend on where your metric definitions live. LookML is proprietary and expensive to migrate away from. dbt YAML and Metabase's per-question definitions are more portable.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bi-tool-self-hosting-licensing/https://adriennevermorel.com/notes/bi-tool-self-hosting-licensing/How MIT, AGPL, and proprietary licensing affect what you can do with self-hosted BI tools — feature gates, copyleft obligations, and what 'free' actually means for Lightdash, Metabase, and Looker.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bi-tool-self-service-models/https://adriennevermorel.com/notes/bi-tool-self-service-models/Three different approaches to self-service BI: governed exploration (Lightdash), visual query builder (Metabase), and LookML-powered Explore (Looker). How to match the model to your users.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-autoscaling-cost-overhead/https://adriennevermorel.com/notes/bigquery-autoscaling-cost-overhead/Why theoretical slot-hour costs rarely match your actual BigQuery bill — the 1.5x autoscaling multiplier, 60-second billing window, and how workload shape changes everything.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-baseline-vs-autoscaling-slots/https://adriennevermorel.com/notes/bigquery-baseline-vs-autoscaling-slots/How baseline and autoscaling slots work in BigQuery Editions -- guaranteed capacity vs. elastic scaling, the 60-second autoscale window, and slot usage priority.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-bi-engine/https://adriennevermorel.com/notes/bigquery-bi-engine/How BigQuery BI Engine provides in-memory acceleration for dashboard queries, what it supports, what it silently skips, and how to verify it's actually working.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-cli-capabilities-beyond-mcp/https://adriennevermorel.com/notes/bigquery-cli-capabilities-beyond-mcp/What the bq command-line tool can do that BigQuery MCP servers cannot — data loading, exports, table management, and the full feature gap with examples.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-column-security-policy-tags/https://adriennevermorel.com/notes/bigquery-column-security-policy-tags/Replace view-based column hiding with Data Catalog policy tags — storage-layer security that survives schema changes and doesn't require view maintenance.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-cost-attribution-with-information-schema/https://adriennevermorel.com/notes/bigquery-cost-attribution-with-information-schema/Using INFORMATION_SCHEMA queries to find expensive queries, attribute costs by user and dataset, identify unoptimized tables, and build a weekly cost review practice.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-cost-governance-guardrails/https://adriennevermorel.com/notes/bigquery-cost-governance-guardrails/Query-level limits, project-level quotas, authorized views, and access patterns that prevent expensive BigQuery mistakes before they happen.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-cost-optimization-hub/https://adriennevermorel.com/notes/bigquery-cost-optimization-hub/A structured guide to BigQuery cost optimization covering the cost model, query patterns, dbt configurations, pricing models, storage billing, and governance.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-data-lake-common-mistakes/https://adriennevermorel.com/notes/bigquery-data-lake-common-mistakes/Three anti-patterns that cause the most problems in BigQuery data lake implementations: missing metadata caching, skipped partition filters, and over-engineered architectures.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-dynamic-data-masking/https://adriennevermorel.com/notes/bigquery-dynamic-data-masking/Show sensitive column structure without exposing values — SHA256 hashing, nullification, and default masking for analysts who need to write queries but not read PII.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-data-lake-patterns-hub/https://adriennevermorel.com/notes/bigquery-data-lake-patterns-hub/A reading guide for understanding BigQuery data lake architecture: table types, the medallion lakehouse pattern, catalog strategy, performance, cost optimization, and common mistakes.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-editions-and-slot-based-pricing/https://adriennevermorel.com/notes/bigquery-editions-and-slot-based-pricing/When to switch from on-demand to slot-based pricing, how autoscaling works, committed use discounts, and a feature comparison across BigQuery editions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-editions-migration-anti-patterns/https://adriennevermorel.com/notes/bigquery-editions-migration-anti-patterns/Five mistakes teams make when migrating from BigQuery on-demand to Editions — and how to avoid them.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-editions-testing-without-commitment/https://adriennevermorel.com/notes/bigquery-editions-testing-without-commitment/How to evaluate BigQuery Editions on real workloads before committing — creating a test reservation, rolling back instantly, opting out of org-level reservations, and using the Slot Estimator.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-editions/https://adriennevermorel.com/notes/bigquery-editions/The three BigQuery Editions tiers -- Standard, Enterprise, and Enterprise Plus -- what each offers, their limits, and how they compare to on-demand pricing.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-fair-scheduling/https://adriennevermorel.com/notes/bigquery-fair-scheduling/How BigQuery distributes slots among competing queries -- the two-level fair scheduling algorithm, its project-level implications, and why project architecture matters for performance.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-fine-grained-access-control/https://adriennevermorel.com/notes/bigquery-fine-grained-access-control/Column-level security with policy tags, row-level security with Row Access Policies, and dynamic data masking — the three layers of fine-grained access control in BigQuery beyond basic IAM roles.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-idle-slot-sharing/https://adriennevermorel.com/notes/bigquery-idle-slot-sharing/How idle slot sharing works in BigQuery Enterprise editions -- requirements, configuration, preemption behavior, and when to disable it.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-job-failure-monitoring/https://adriennevermorel.com/notes/bigquery-job-failure-monitoring/SQL patterns for monitoring BigQuery job failures and detecting cost anomalies using INFORMATION_SCHEMA.JOBS — with filtering strategies for multi-project setups.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-mcp-server-setup-hub/https://adriennevermorel.com/notes/bigquery-mcp-server-setup-hub/A reading path through connecting BigQuery to AI assistants via MCP — comparing the two official options, authentication, custom queries, and cost control.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-mcp-toolbox-setup/https://adriennevermorel.com/notes/bigquery-mcp-toolbox-setup/Installing and configuring Google's open-source MCP Toolbox for Databases — the self-hosted option for connecting BigQuery to AI assistants with ADC authentication.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-ml-for-lead-scoring/https://adriennevermorel.com/notes/bigquery-ml-for-lead-scoring/Train a logistic regression or boosted tree model to predict lead conversion directly in BigQuery SQL — including the TRANSFORM clause, class imbalance, and how to evaluate model quality.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-on-demand-billing-mechanics/https://adriennevermorel.com/notes/bigquery-on-demand-billing-mechanics/How BigQuery on-demand pricing actually charges you — columnar billing, the LIMIT clause trap, 10 MB minimums, caching, the free tier, and cross-cloud pricing.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-pricing-policy-changes-2024-2025/https://adriennevermorel.com/notes/bigquery-pricing-policy-changes-2024-2025/Three BigQuery policy changes that affect cost modeling in 2024–2025: the flat-rate deprecation, the 200 TiB daily on-demand quota, and new Cloud Storage fees for external tables.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-remote-mcp-server-setup/https://adriennevermorel.com/notes/bigquery-remote-mcp-server-setup/Google's managed BigQuery MCP endpoint — enabling the service, configuring Claude Desktop and Claude Code, and why token expiration limits its usefulness.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-reservation-hierarchy/https://adriennevermorel.com/notes/bigquery-reservation-hierarchy/The three layers of BigQuery's capacity model -- commitments, reservations, and assignments -- and how they work together to manage slot allocation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-row-access-policies/https://adriennevermorel.com/notes/bigquery-row-access-policies/Dynamic row-level filtering using CREATE ROW ACCESS POLICY — replace per-segment views with policies that apply automatically based on querying user identity.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-slot-usage-monitoring/https://adriennevermorel.com/notes/bigquery-slot-usage-monitoring/How to monitor BigQuery slot usage with INFORMATION_SCHEMA, the Slot Estimator, and Cloud Monitoring -- practical queries and tools for capacity planning.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-slots-and-reservations-hub/https://adriennevermorel.com/notes/bigquery-slots-and-reservations-hub/A reading guide to BigQuery's compute model -- slots, reservations, editions, autoscaling, fair scheduling, and slot management for dbt workflows.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-slots/https://adriennevermorel.com/notes/bigquery-slots/What BigQuery slots are, how queries use them, what happens during slot contention, and the two ways to get slots.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-storage-billing-strategies/https://adriennevermorel.com/notes/bigquery-storage-billing-strategies/Physical vs logical storage billing in BigQuery, long-term storage discounts, table expiration policies, and how to evaluate which billing mode saves money.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/browser-cookie-restrictions-2026/https://adriennevermorel.com/notes/browser-cookie-restrictions-2026/How Safari ITP, Firefox Total Cookie Protection, and Chrome handle tracking cookies differently in 2026 — and why the combined effect means client-side tracking misses 20-40% of visitors.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/build-vs-buy-data-pipeline-economics/https://adriennevermorel.com/notes/build-vs-buy-data-pipeline-economics/The three converging shifts that flipped the build-vs-buy calculation for data pipelines — pricing changes, AI-assisted development velocity, and open-source maturityFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/build-vs-buy-data-pipelines-hub/https://adriennevermorel.com/notes/build-vs-buy-data-pipelines-hub/A reading path through the shifting economics of managed vs. custom data pipelines — from Fivetran's pricing changes through AI-assisted development with dlt to the hybrid strategyFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/building-mcp-apps-visualization-server/https://adriennevermorel.com/notes/building-mcp-apps-visualization-server/How to build a custom MCP Apps visualization server in TypeScript — registering app tools with UI metadata, serving HTML resources, and implementing the client SDK for bidirectional communication.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/business-cost-of-poor-data-quality/https://adriennevermorel.com/notes/business-cost-of-poor-data-quality/The measurable financial and operational impact of data quality failures — industry statistics, high-profile incidents, and why prevention costs a fraction of remediation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/campaign-naming-and-utm-standardization/https://adriennevermorel.com/notes/campaign-naming-and-utm-standardization/How to standardize campaign names across ad platforms using naming conventions, regex parsing, and seed overrides — plus UTM hygiene rules that make cross-platform attribution possible.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/chatbot-copilot-agent-paradigm-shift/https://adriennevermorel.com/notes/chatbot-copilot-agent-paradigm-shift/How AI's relationship to the developer changed across three distinct eras — chatbot (demand), copilot (alongside), agent (autonomous) — and why each phase is qualitatively different, not incrementally better.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/choosing-between-bigquery-mcp-options/https://adriennevermorel.com/notes/choosing-between-bigquery-mcp-options/Decision framework for BigQuery MCP access — Remote Server vs Toolbox vs bq CLI, matched to your client, team setup, and use case.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/choosing-between-fivetran-airbyte-dlt/https://adriennevermorel.com/notes/choosing-between-fivetran-airbyte-dlt/A decision framework for picking the right ELT tool based on team skills, budget, connector needs, and tolerance for operational burden — with practitioner sentiment from the field.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-for-dbt-development-hub/https://adriennevermorel.com/notes/claude-code-for-dbt-development-hub/A reading path through the core workflows for using Claude Code in a dbt project — base models, tests, documentation, debugging, refactoring, and prompting.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-roi-for-analytics-engineers/https://adriennevermorel.com/notes/claude-code-roi-for-analytics-engineers/Realistic time-to-value for Claude Code in a dbt workflow — what setup actually costs, when consistent savings emerge, and the qualitative benefit of tasks that finally get done.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-skill-description-engineering/https://adriennevermorel.com/notes/claude-code-skill-description-engineering/How to write Claude Code skill descriptions that actually trigger activation — explicit keywords, negative boundaries, and the specificity principleFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-skills-activation/https://adriennevermorel.com/notes/claude-code-skills-activation/How Claude Code skills work under the hood — keyword matching against YAML frontmatter, the ~20% auto-activation rate, and why skills fit background domain knowledge better than repeatable workflowsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-stop-and-session-hooks/https://adriennevermorel.com/notes/claude-code-stop-and-session-hooks/How Stop and SessionStart hooks complement per-tool hooks — running quality gates after Claude finishes responding and loading project context at session startFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-strengths-and-limitations-for-data-work/https://adriennevermorel.com/notes/claude-code-strengths-and-limitations-for-data-work/Where Claude Code delivers real value in data engineering — boilerplate, multi-file changes, pattern replication — and where it struggles with novel logic, ambiguity, and over-engineering.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-md-analytics-engineering-hub/https://adriennevermorel.com/notes/claude-md-analytics-engineering-hub/Hub note connecting all CLAUDE.md configuration concepts for dbt and BigQuery analytics engineering — project memory, dbt templates, BigQuery specifics, hooks, and slash commands.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-md-bigquery-specifics/https://adriennevermorel.com/notes/claude-md-bigquery-specifics/What to put in CLAUDE.md when your dbt project runs on BigQuery — GoogleSQL dialect enforcement, partition filter requirements, and incremental model config templates.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-md-for-dbt-projects/https://adriennevermorel.com/notes/claude-md-for-dbt-projects/A concrete CLAUDE.md template for dbt projects — what to include, what to leave out, and why the file should be grown reactively from real mistakes rather than written upfront.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cli-vs-mcp-for-ai-agents/https://adriennevermorel.com/notes/cli-vs-mcp-for-ai-agents/The practical tradeoffs between CLI commands and MCP tool calls for AI agent workflows — benchmark data, token efficiency, and when each approach wins.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cloud-composer-cost-and-capabilities/https://adriennevermorel.com/notes/cloud-composer-cost-and-capabilities/Cloud Composer 3's pricing model, committed use discounts, and the specific scenarios where its orchestration capabilities justify the $300-400/month minimum.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cloud-functions-for-dbt/https://adriennevermorel.com/notes/cloud-functions-for-dbt/When and why to use Google Cloud Functions to run dbt Core — how it compares to Cloud Run Jobs, what it's good at, and where it falls short.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cloud-run-jobs-for-dbt/https://adriennevermorel.com/notes/cloud-run-jobs-for-dbt/Why Cloud Run Jobs is the optimal dbt execution environment for most GCP teams — capabilities, container setup, authentication, monitoring, and cost profile.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cloud-run-jobs-deployment-script-pattern/https://adriennevermorel.com/notes/cloud-run-jobs-deployment-script-pattern/An end-to-end deployment script for dbt on Cloud Run Jobs — service accounts, IAM bindings, Artifact Registry, job creation, and scheduling in a single reproducible script.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cloud-scheduler-oidc-http-trigger/https://adriennevermorel.com/notes/cloud-scheduler-oidc-http-trigger/How Cloud Scheduler authenticates to secure HTTP endpoints using OIDC tokens — the service account requirements, the gcloud setup, and the pattern for Cloud Functions and Cloud Run.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cloud-workflows-orchestration/https://adriennevermorel.com/notes/cloud-workflows-orchestration/GCP Cloud Workflows as a middle-ground orchestration layer between Cloud Scheduler and Cloud Composer — serverless, cheap, and capable enough for multi-step pipelines.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/code-generation-over-tool-calling-pattern/https://adriennevermorel.com/notes/code-generation-over-tool-calling-pattern/The emerging pattern of having LLMs write code against APIs rather than generate tool calls — Cloudflare's Code Mode, Anthropic's code execution, and what it means for MCP's future.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/codebase-refactoring-with-claude-code/https://adriennevermorel.com/notes/codebase-refactoring-with-claude-code/How Claude Code enables project-wide dbt refactoring — column renames, naming convention migrations, and ref() updates across dozens of files without the manual search-and-miss problem.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-common-implementation-failures/https://adriennevermorel.com/notes/consent-mode-common-implementation-failures/The ten most frequent Consent Mode implementation mistakes, ordered by prevalence and damage — from missing defaults to untested consent states.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-basic-vs-advanced/https://adriennevermorel.com/notes/consent-mode-basic-vs-advanced/How Basic and Advanced Consent Mode differ in tag behavior, cookieless pings, and conversion modeling — and the traffic thresholds that determine whether Advanced mode actually helps.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-debugging-network-parameters/https://adriennevermorel.com/notes/consent-mode-debugging-network-parameters/How to decode the gcs and gcd parameters in Google Analytics network requests to verify Consent Mode implementation without relying on CMP interfaces.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-implementation-mechanics/https://adriennevermorel.com/notes/consent-mode-implementation-mechanics/The technical implementation of Consent Mode v2: default state configuration, CMP integration, GTM trigger ordering, and the wait_for_update race condition.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-impact-on-identity-resolution/https://adriennevermorel.com/notes/consent-mode-impact-on-identity-resolution/How GA4 Consent Mode V2 changes what identity data reaches BigQuery — cookieless pings without identifiers, the same-page backstitch nuance, and filtering consented data for stitching pipelines.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-server-side-gtm-propagation/https://adriennevermorel.com/notes/consent-mode-server-side-gtm-propagation/How consent signals travel from the web container to server-side GTM via gcs and gcd parameters, and why non-Google vendor tags require manual consent enforcement.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-v2-hub/https://adriennevermorel.com/notes/consent-mode-v2-hub/Hub note connecting all concepts involved in implementing, debugging, and maintaining Google Consent Mode v2 across web and server-side GTM containers.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-us-privacy-requirements/https://adriennevermorel.com/notes/consent-mode-us-privacy-requirements/Why US-only sites increasingly need Consent Mode — Enhanced Conversions requirements, expanding state privacy laws, and the recommended region-specific configuration.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/consent-mode-v2-parameter-architecture/https://adriennevermorel.com/notes/consent-mode-v2-parameter-architecture/The four Consent Mode v2 parameters, how upstream browser controls differ from downstream server instructions, and the legal mandate that forced the change.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/context-window-compaction-agent-safety/https://adriennevermorel.com/notes/context-window-compaction-agent-safety/How LLM context window compaction causes AI agents to lose or deprioritize stop commands during long-running tasks — and why bulk data operations are the highest-risk scenario.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/contract-first-development-in-dbt/https://adriennevermorel.com/notes/contract-first-development-in-dbt/Defining the contract before writing the SQL — the API design analogy, the workflow, and how ODCS + Data Contract CLI can generate dbt model YAML.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/crm-data-architecture-hub/https://adriennevermorel.com/notes/crm-data-architecture-hub/Hub note connecting all garden notes on modeling Salesforce and HubSpot data in a modern warehouse with dbt and BigQuery.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/crm-data-extraction-challenges/https://adriennevermorel.com/notes/crm-data-extraction-challenges/Why CRM data is harder to warehouse than most sources — mutability, API-based extraction, soft deletes, formula field blind spots, and rate limits.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/crm-modeling-patterns-in-dbt/https://adriennevermorel.com/notes/crm-modeling-patterns-in-dbt/How to apply the three-layer dbt architecture to Salesforce and HubSpot data — base model conventions, intermediate enrichment, mart design, and incremental strategies.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cron-orchestration-upgrade-signals/https://adriennevermorel.com/notes/cron-orchestration-upgrade-signals/Five concrete indicators that a simple cron-scheduled dbt job has hit its limits — and what each one tells you about the orchestration capability you actually need.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cross-platform-ad-metric-comparability/https://adriennevermorel.com/notes/cross-platform-ad-metric-comparability/Why only five metrics can be meaningfully compared across ad platforms, how to handle platform-specific metrics, and conversion configuration details that determine what your 'conversions' column actually means.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cross-platform-ad-testing-patterns/https://adriennevermorel.com/notes/cross-platform-ad-testing-patterns/How to test unified ad reporting models in dbt — source freshness, spend reconciliation, grain testing, and the manual checks that automated tests can't replace.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/custom-dbt-materializations-hub/https://adriennevermorel.com/notes/custom-dbt-materializations-hub/Hub note for custom dbt materializations — anatomy, decision framework, zero-downtime swap, secured table, and debugging patterns.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/custom-mcp-server-decision-criteria/https://adriennevermorel.com/notes/custom-mcp-server-decision-criteria/When to build a custom MCP server versus using an existing one — the build-vs-browse decision framework for data engineering teams.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/custom-mcp-servers-for-data-engineering-hub/https://adriennevermorel.com/notes/custom-mcp-servers-for-data-engineering-hub/A reading path through building custom MCP servers — from decision criteria and SDK selection through tool design, testing, and practical server patterns for data catalogs, pipelines, and quality.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/custom-parameterized-mcp-queries/https://adriennevermorel.com/notes/custom-parameterized-mcp-queries/Using the MCP Toolbox's tools.yaml to define constrained, parameterized queries that give AI assistants structured access to data without arbitrary SQL.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/customer-360-dbt-dag-architecture/https://adriennevermorel.com/notes/customer-360-dbt-dag-architecture/How to structure a dbt project for Customer 360 models — the identity resolution layer between base and mart, the wide customer table, and materialization choices.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-asset-checks-from-dbt-tests/https://adriennevermorel.com/notes/dagster-asset-checks-from-dbt-tests/How Dagster automatically converts dbt tests into asset checks since version 1.7 -- severity mapping, health badges, and what this means for unified data quality monitoring.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/customer-360-hub/https://adriennevermorel.com/notes/customer-360-hub/Hub note connecting the concepts involved in building a unified Customer 360 model from CRM and GA4 data — identity resolution, DAG architecture, conflict resolution, and privacy constraints.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-branch-deployments-for-dbt/https://adriennevermorel.com/notes/dagster-branch-deployments-for-dbt/How Dagster+ branch deployments create ephemeral preview environments for dbt changes on PR, with state-based selection and partitioned execution for CI/CD workflows.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-components/https://adriennevermorel.com/notes/dagster-components/Dagster's newest major abstraction — YAML-configured objects that generate assets, checks, and schedules with minimal Python, lowering the barrier for SQL-first analytics engineers.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-dbt-integration-hub/https://adriennevermorel.com/notes/dagster-dbt-integration-hub/Hub note for the dagster-dbt integration — how the mapping works, quality checks, freshness monitoring, CI/CD workflows, and the case for choosing Dagster over dbt Cloud.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-freshness-policies-and-scheduling/https://adriennevermorel.com/notes/dagster-freshness-policies-and-scheduling/How Dagster tracks asset freshness rather than just execution timestamps, and how to schedule dbt runs using cron schedules, sensors, and automation conditions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-dbt-asset-mapping/https://adriennevermorel.com/notes/dagster-dbt-asset-mapping/How dagster-dbt reads your manifest.json to create one Dagster asset per dbt model, with automatic lineage from ref() calls, and how to customize the mapping with DagsterDbtTranslator.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-fundamentals-hub/https://adriennevermorel.com/notes/dagster-fundamentals-hub/Hub note connecting all Dagster core concept notes — the asset-centric model, SDAs, resources, components, UI, pricing, GCP deployment, learning curve, and the dbt integration.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-full-stack-pipeline-architecture/https://adriennevermorel.com/notes/dagster-full-stack-pipeline-architecture/How Dagster unifies ingestion, transformation, Python processing, and downstream triggers in a single asset graph — the pattern that justifies Dagster over simpler orchestration approaches.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-gcp-deployment/https://adriennevermorel.com/notes/dagster-gcp-deployment/How to deploy Dagster on GCP — Serverless vs Hybrid modes, GKE with Helm, Workload Identity authentication, Cloud SQL for storage, and the community Cloud Run option.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-learning-curve-for-analytics-engineers/https://adriennevermorel.com/notes/dagster-learning-curve-for-analytics-engineers/Where the friction shows up when analytics engineers adopt Dagster — Python proficiency, conceptual overhead, manifest management, pricing surprises, and the best onboarding path.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-plus-pricing-and-credit-model/https://adriennevermorel.com/notes/dagster-plus-pricing-and-credit-model/How Dagster+ pricing works — the credit model (1 credit = 1 asset materialization), plan tiers, overage costs, and how it compares to dbt Cloud and Cloud Composer for analytics engineering teams.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-resources/https://adriennevermorel.com/notes/dagster-resources/How Dagster resources work as centrally configured, injectable external connections — BigQueryResource, DbtCliResource, and the pattern for swapping environments without changing asset code.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-software-defined-assets/https://adriennevermorel.com/notes/dagster-software-defined-assets/The core building block of Dagster — how @dg.asset works, automatic dependency inference, the Definitions object, and how SDAs differ from traditional orchestrator primitives.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-ui-for-analytics-engineers/https://adriennevermorel.com/notes/dagster-ui-for-analytics-engineers/A walkthrough of Dagster's web UI — the Asset Catalog, Global Asset Lineage, Run Details, health indicators, and the Dagster+ Pro features that matter most for analytics engineers on dbt + BigQuery.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dagster-vs-dbt-cloud-orchestration/https://adriennevermorel.com/notes/dagster-vs-dbt-cloud-orchestration/When Dagster's dagster-dbt integration is worth the setup cost over dbt Cloud's built-in scheduler -- cost comparison, capability gaps, and the vendor independence argument after the Fivetran merger.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-comparison-tool-landscape/https://adriennevermorel.com/notes/data-comparison-tool-landscape/When to use dbt-audit-helper, Elementary, dbt-expectations, Datafold, or Soda for data comparison and validation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-contract-adoption-challenges/https://adriennevermorel.com/notes/data-contract-adoption-challenges/Why data contract initiatives fail — the execution gap between contract-as-documentation and contract-as-enforcement, and the cultural change that matters more than the YAML.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-contract-definition/https://adriennevermorel.com/notes/data-contract-definition/What a data contract is, how it differs from schema tests and data quality checks, and why the 'non-consensual API' framing matters.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-contract-ownership-models/https://adriennevermorel.com/notes/data-contract-ownership-models/Producer-defined vs consumer-defined data contracts — why who writes the contract determines whether the initiative succeeds.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-contract-tooling-ecosystem/https://adriennevermorel.com/notes/data-contract-tooling-ecosystem/The landscape of data contract tools in 2026 — dedicated contract tools, quality frameworks with contract support, and governance platforms.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-observability-build-vs-buy-hub/https://adriennevermorel.com/notes/data-observability-build-vs-buy-hub/A reading path through the data observability decision — from the tool landscape through scaling thresholds, ML vs statistical detection, TCO, and the minimum viable stack.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-observability-minimum-viable-stack/https://adriennevermorel.com/notes/data-observability-minimum-viable-stack/The four non-negotiable observability capabilities every data team needs regardless of tooling — primary key tests, freshness monitoring, volume anomaly detection, and actionable alerting.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-observability-scaling-thresholds/https://adriennevermorel.com/notes/data-observability-scaling-thresholds/Team size and technical complexity thresholds that determine when to move from dbt tests to OSS observability to paid platforms.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-observability-tool-landscape/https://adriennevermorel.com/notes/data-observability-tool-landscape/A reference comparison of data observability tools in 2026 — Elementary, Monte Carlo, Soda, Bigeye, Datafold, and Atlan — covering capabilities, pricing, and positioning.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-observability-total-cost-of-ownership/https://adriennevermorel.com/notes/data-observability-total-cost-of-ownership/The true cost comparison between OSS and managed data observability — accounting for engineering time, warehouse compute, training, and the costs that don't appear on invoices.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-quality-kpis-from-elementary/https://adriennevermorel.com/notes/data-quality-kpis-from-elementary/Five data quality KPIs you can build from Elementary's warehouse tables, how to interpret them, and how they map to standard data quality dimensions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-quality-validation-layers/https://adriennevermorel.com/notes/data-quality-validation-layers/The three-layer model for data quality — proactive contracts, reactive schema tests, and anomaly detection — and why you need all three.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-team-on-call-strategies/https://adriennevermorel.com/notes/data-team-on-call-strategies/How data teams structure on-call rotations, triage processes, and runbooks differently from software engineering on-call, and which metrics reveal whether the system is working.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-dbt-concept-mapping/https://adriennevermorel.com/notes/dataform-dbt-concept-mapping/A reference mapping of Dataform concepts to their dbt equivalents — refs, configs, sources, materializations, testing, and directory structure.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-dbt-migration-decision-criteria/https://adriennevermorel.com/notes/dataform-dbt-migration-decision-criteria/When migrating from Dataform to dbt makes sense, when it doesn't, and the realistic cost-benefit calculation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-decision-framework/https://adriennevermorel.com/notes/dataform-decision-framework/When Dataform is the right choice and when dbt wins — a decision framework based on platform commitment, budget, team preferences, and use case complexityFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-dynamic-model-generation/https://adriennevermorel.com/notes/dataform-dynamic-model-generation/How Dataform's JavaScript enables programmatic DAG construction — generating dozens of models from a single loop — and what dbt teams do instead.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-ecosystem-and-tooling-gaps/https://adriennevermorel.com/notes/dataform-ecosystem-and-tooling-gaps/Where Dataform falls short beyond testing — CI/CD automation, IDE tooling, package ecosystem, and platform lock-in compared to dbtFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-for-bigquery-hub/https://adriennevermorel.com/notes/dataform-for-bigquery-hub/A structured guide to evaluating Dataform as a BigQuery transformation tool — what it is, how it compares to dbt, and when it makes senseFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-gcp-service-overview/https://adriennevermorel.com/notes/dataform-gcp-service-overview/What Dataform is in 2026 — a fully managed BigQuery transformation service with deep GCP integration, zero licensing cost, and SQLX/JavaScript templatingFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-testing-limitations/https://adriennevermorel.com/notes/dataform-testing-limitations/Dataform's built-in assertions cover three scenarios — uniqueness, null checks, and row conditions. Everything else requires custom implementation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-to-dbt-migration-hub/https://adriennevermorel.com/notes/dataform-to-dbt-migration-hub/Hub note connecting all garden notes related to migrating from Dataform to dbt — decision criteria, concept mapping, templating differences, and validation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-to-dbt-migration/https://adriennevermorel.com/notes/dataform-to-dbt-migration/Migration paths between Dataform and dbt — tooling, realistic timelines by project size, and why macro conversion is where migrations get painfulFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dataform-vs-dbt-cost-comparison/https://adriennevermorel.com/notes/dataform-vs-dbt-cost-comparison/The real cost equation between Dataform and dbt — licensing savings vs ecosystem gaps, migration costs, and hidden engineering overheadFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-ad-reporting-patterns/https://adriennevermorel.com/notes/dbt-ad-reporting-patterns/How to model advertising data in dbt — the dbt_ad_reporting package, cross-platform UNION patterns, platform-specific normalization, and reconciliation testingFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-agent-skills/https://adriennevermorel.com/notes/dbt-agent-skills/dbt Labs' official Markdown skill files that teach AI coding agents how to follow dbt best practices — what they cover, how they work, and what the benchmarks actually show.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-as-ai-knowledge-base/https://adriennevermorel.com/notes/dbt-as-ai-knowledge-base/How a well-structured dbt project functions as a shared context layer that improves every AI tool in your stack — models, tests, documentation, and semantic definitions as machine-readable knowledge.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-attribution-comparison-pattern/https://adriennevermorel.com/notes/dbt-attribution-comparison-pattern/How to structure a dbt project for multi-model attribution — running first-touch, last-touch, linear, position-based, and time-decay models in parallel with a union comparison layerFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-audit-helper-ci-cd-integration/https://adriennevermorel.com/notes/dbt-audit-helper-ci-cd-integration/How to integrate dbt-audit-helper into CI/CD pipelines — dbt Cloud PR jobs, GitHub Actions with --defer, and automated regression detection.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-audit-helper-hub/https://adriennevermorel.com/notes/dbt-audit-helper-hub/Hub note for dbt-audit-helper — the progressive validation workflow, macro reference, CI/CD integration, and related comparison topics.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-audit-helper-macro-reference/https://adriennevermorel.com/notes/dbt-audit-helper-macro-reference/Reference for every dbt-audit-helper macro — parameters, output format, platform support, and practical usage notes.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-audit-helper-progressive-validation/https://adriennevermorel.com/notes/dbt-audit-helper-progressive-validation/The broad-to-narrow validation workflow for dbt-audit-helper — start with schema checks, escalate to row-level diffs only when needed.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-built-in-cross-database-macros/https://adriennevermorel.com/notes/dbt-built-in-cross-database-macros/Reference for dbt's built-in cross-database macros in the dbt namespace — dateadd, datediff, safe_cast, concat, type helpers, and the migration path from dbt_utils.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-centrality-in-bi/https://adriennevermorel.com/notes/dbt-centrality-in-bi/Why dbt has become the foundation layer that BI tools read from — not a parallel concern — and how the Fivetran merger accelerates this shiftFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-certification-preparation/https://adriennevermorel.com/notes/dbt-certification-preparation/What the dbt developer certification actually tests, where people get tripped up, and how hands-on project experience matters more than studying.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-ci-cd-data-quality-testing/https://adriennevermorel.com/notes/dbt-ci-cd-data-quality-testing/How to integrate data quality testing into CI/CD pipelines — Slim CI with state:modified+, GitHub Actions workflows, and tools like Datafold and Recce for regression detection.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-cloud-function-repository-structure/https://adriennevermorel.com/notes/dbt-cloud-function-repository-structure/How to restructure a dbt project repository for Cloud Function deployment — the subdirectory pattern, main.py, requirements.txt, and profiles.yml with oauth.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-cloud-managed-platform/https://adriennevermorel.com/notes/dbt-cloud-managed-platform/What dbt Cloud provides beyond Core -- web IDE, job scheduling, collaboration tools, managed infrastructure, and the pricing model that shapes adoption decisions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-constraint-enforcement-across-warehouses/https://adriennevermorel.com/notes/dbt-constraint-enforcement-across-warehouses/How dbt constraint types behave across Postgres, Snowflake, BigQuery, Redshift, and Databricks — which constraints actually reject bad data and which are metadata only.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-contract-rollout-strategy/https://adriennevermorel.com/notes/dbt-contract-rollout-strategy/How to adopt dbt model contracts in an existing project — identifying candidates, scaffolding YAML, phased enablement, and CI/CD integration for governance-only checks.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-core-open-source-fundamentals/https://adriennevermorel.com/notes/dbt-core-open-source-fundamentals/What dbt Core is, how its CLI-driven workflow operates, the open-source ecosystem that powers it, and the technical profile of teams that choose it.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-core-vs-cloud-decision-framework/https://adriennevermorel.com/notes/dbt-core-vs-cloud-decision-framework/A structured comparison of dbt Core and dbt Cloud across deployment, interface, features, pricing, and team profile -- with decision heuristics for choosing between them.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-core-vs-cloud-hub/https://adriennevermorel.com/notes/dbt-core-vs-cloud-hub/Hub note connecting garden notes decomposed from the dbt Core vs dbt Cloud comparison article.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-cross-database-array-operations/https://adriennevermorel.com/notes/dbt-cross-database-array-operations/How array syntax diverges across BigQuery, Snowflake, and Databricks — UNNEST vs LATERAL FLATTEN vs EXPLODE — and dispatch macros to handle it.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-cross-database-macros-hub/https://adriennevermorel.com/notes/dbt-cross-database-macros-hub/Hub for writing dbt macros that work across BigQuery, Snowflake, and Databricks — dialect differences, dispatch configuration, built-in macros, and array operations.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-deps-and-package-lock/https://adriennevermorel.com/notes/dbt-deps-and-package-lock/How dbt resolves and installs packages — the difference between packages.yml and dependencies.yml, how the lock file works, and the flags worth knowing.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-description-yaml-formatting-options/https://adriennevermorel.com/notes/dbt-description-yaml-formatting-options/The four ways to write descriptions in dbt YAML — inline strings, folded scalars, literal scalars, and doc blocks — and when to use each oneFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-dispatch-configuration/https://adriennevermorel.com/notes/dbt-dispatch-configuration/How to configure dbt's dispatch search order in dbt_project.yml — overriding package macros, adding Databricks support via spark_utils, and namespace resolution.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-doc-block-file-organization/https://adriennevermorel.com/notes/dbt-doc-block-file-organization/How to organize doc block files in a dbt project — per-directory, per-model, centralized, and hybrid approaches with practical tradeoffsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-doc-block-jinja-limitations/https://adriennevermorel.com/notes/dbt-doc-block-jinja-limitations/What you cannot do inside dbt doc blocks — restricted Jinja context, the README parsing gotcha, and the missing column description inheritance featureFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-doc-block-syntax-and-reuse/https://adriennevermorel.com/notes/dbt-doc-block-syntax-and-reuse/How dbt doc blocks work — syntax, naming rules, cross-package references, and patterns for writing column and model descriptions once and reusing them across your projectFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docker-containerization/https://adriennevermorel.com/notes/dbt-docker-containerization/Patterns for containerizing dbt Core for production — multi-stage Dockerfiles, version pinning, Artifact Registry, and the two-repository strategy that separates transformation logic from infrastructure.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docs-alternatives/https://adriennevermorel.com/notes/dbt-docs-alternatives/When to move beyond the default dbt docs frontend — Dagster's Next.js replacement, dbterd for ERDs, data catalogs, and dbt Cloud CatalogFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docs-customization-and-deployment-hub/https://adriennevermorel.com/notes/dbt-docs-customization-and-deployment-hub/A reading path through customizing and deploying dbt docs beyond localhost — from understanding the build artifacts to choosing a hosting platform, automating deployment, and knowing when to replace the default frontendFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docs-deployment-automation/https://adriennevermorel.com/notes/dbt-docs-deployment-automation/Patterns for keeping dbt docs automatically updated — CI/CD workflows, Astronomer Cosmos operators, and tools that push documentation to platforms like NotionFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docs-generate-artifacts/https://adriennevermorel.com/notes/dbt-docs-generate-artifacts/The static site artifacts that dbt docs generate creates — manifest.json, catalog.json, index.html — and the flags that control how they are builtFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docs-hosting-options/https://adriennevermorel.com/notes/dbt-docs-hosting-options/Deployment options for dbt docs by complexity — GitHub Pages, Netlify, GCS with IAP, S3 with CloudFront, and Docker with NginxFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docs-markdown-capabilities/https://adriennevermorel.com/notes/dbt-docs-markdown-capabilities/What Markdown works in dbt docs and what does not — supported syntax, YAML scalar styles, image embedding, cross-referencing models, and known limitationsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docs-performance-at-scale/https://adriennevermorel.com/notes/dbt-docs-performance-at-scale/Why the default dbt docs site becomes unusable for large projects — the AngularJS frontend, client-side JSON parsing, and the performance ceiling that drives teams to alternativesFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-docs-site-customization/https://adriennevermorel.com/notes/dbt-docs-site-customization/What you can customize in the default dbt docs site — the overview page, DAG node colors, hiding models — and where the customization options endFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-audience-mismatch/https://adriennevermorel.com/notes/dbt-documentation-audience-mismatch/Why most dbt documentation goes unread — the fundamental mismatch between who writes docs (engineers) and who needs them (business users, analysts, and increasingly AI tools)Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-automation-strategy/https://adriennevermorel.com/notes/dbt-documentation-automation-strategy/A graduated approach to automating dbt documentation freshness — from a single pre-commit hook to comprehensive drift detection, coverage tracking, and AI remediationFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-drift-detection/https://adriennevermorel.com/notes/dbt-documentation-drift-detection/Techniques for detecting when dbt documentation falls out of sync with reality — column-level drift, git-based staleness signals, and schema drift for sourcesFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-freshness-hub/https://adriennevermorel.com/notes/dbt-documentation-freshness-hub/A reading path through keeping dbt documentation accurate as your project evolves — from the case for automation to drift detection, coverage tracking, and a graduated rollout strategyFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-coverage-tracking/https://adriennevermorel.com/notes/dbt-documentation-coverage-tracking/Measuring and trending dbt documentation coverage over time with dbt-coverage, dbt-score, and dbt Cloud — moving beyond pass/fail CI checks to spot erosion earlyFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-people-read-hub/https://adriennevermorel.com/notes/dbt-documentation-people-read-hub/A reading path through writing dbt documentation that gets used — from diagnosing why docs go unread to writing patterns, delivery mechanisms, and the AI quality feedback loopFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-rollout-strategy/https://adriennevermorel.com/notes/dbt-documentation-rollout-strategy/A practical week-by-week approach to rolling out dbt documentation standards — starting with model descriptions, adding enforcement incrementally, and using AI tools to close coverage gapsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-style-guide-rationale/https://adriennevermorel.com/notes/dbt-documentation-style-guide-rationale/The case for writing a documentation style guide for your dbt project — why inconsistency is the root problem, not effort, and how style guides serve both humans and AI toolsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-entity-centric-intermediate-naming/https://adriennevermorel.com/notes/dbt-entity-centric-intermediate-naming/Why intermediate models should be named for the entity they represent, not the transformation they perform — and the self-documenting join notation that makes it work.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-expectations-bigquery-implementation-patterns/https://adriennevermorel.com/notes/dbt-expectations-bigquery-implementation-patterns/Real-world dbt-expectations implementation on BigQuery — complete GA4 and advertising data quality YAML, test placement by DAG layer, and a practical starting checklist.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-expectations-setup-and-configuration/https://adriennevermorel.com/notes/dbt-expectations-setup-and-configuration/How to install and configure dbt-expectations — packages.yml, timezone variable, platform compatibility, and dependency management.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-expectations-row-condition-pattern/https://adriennevermorel.com/notes/dbt-expectations-row-condition-pattern/How the row_condition parameter in dbt-expectations enables conditional test filtering — applying tests to specific segments without custom SQL.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-expectations-hub/https://adriennevermorel.com/notes/dbt-expectations-hub/Hub note for dbt-expectations — setup, test reference, conditional filtering, severity tuning, BigQuery implementation patterns, and the unit test vs data test distinction.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-expectations-test-reference/https://adriennevermorel.com/notes/dbt-expectations-test-reference/A categorized reference of the highest-value dbt-expectations tests — table-level, pattern, range, multi-column, and completeness — with BigQuery-ready YAML examples.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-features-without-dataform-equivalent/https://adriennevermorel.com/notes/dbt-features-without-dataform-equivalent/The dbt capabilities that simply don't exist in Dataform — snapshots, the package ecosystem, microbatch incremental strategy, and Slim CI. These are the blockers that stall dbt-to-Dataform migrations.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-fivetran-merger-landscape-shift/https://adriennevermorel.com/notes/dbt-fivetran-merger-landscape-shift/How the October 2025 dbt-Fivetran merger reshaped the analytics engineering landscape — unified platform strategy, Core/Cloud divergence, and what it means for tool choice.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-fusion-package-compatibility/https://adriennevermorel.com/notes/dbt-fusion-package-compatibility/How the dbt Fusion engine (v2.0) affects package compatibility — version bounds, manifest format changes, the Fusion badge, and how to prepare your project and packages for migration.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-generate-schema-name-override/https://adriennevermorel.com/notes/dbt-generate-schema-name-override/How to override dbt's generate_schema_name macro so dev environments get prefixed schema names while prod uses clean custom schema names directly.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-groups-and-access-modifiers/https://adriennevermorel.com/notes/dbt-groups-and-access-modifiers/How dbt groups and access modifiers (private, protected, public) organize model ownership and enforce boundaries — and why they're worth using even in single projects.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-hub-publishing/https://adriennevermorel.com/notes/dbt-hub-publishing/How to publish a dbt package to the dbt Hub — requirements, the registration process, hubcap automation, and best practices for version management.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-identity-resolution-pipeline/https://adriennevermorel.com/notes/dbt-identity-resolution-pipeline/Production dbt DAG structure for GA4 identity resolution — the incremental identity mapping model, stitched events model, schema tests, and the 3-day lookback window for late-arriving data.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-incremental-strategy-configuration-patterns/https://adriennevermorel.com/notes/dbt-incremental-strategy-configuration-patterns/Complete, runnable dbt config blocks for each incremental strategy — merge with predicates, delete+insert on Snowflake, insert_overwrite with static partitions, and replace_where on Databricks.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-incremental-strategy-warehouse-behaviors/https://adriennevermorel.com/notes/dbt-incremental-strategy-warehouse-behaviors/How dbt incremental strategies behave differently on BigQuery, Snowflake, and Databricks — the platform-specific quirks, gotchas, and limitations that the documentation doesn't emphasize enough.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-integration-depth-across-orchestrators/https://adriennevermorel.com/notes/dbt-integration-depth-across-orchestrators/How dagster-dbt, astronomer-cosmos, and prefect-dbt differ in integration depth — from first-class asset mapping to operational wrappers — and what that means when something breaks.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-macro-deprecation-pattern/https://adriennevermorel.com/notes/dbt-macro-deprecation-pattern/How to change macro behavior without breaking callers — the staged deprecation pattern using exceptions.warn() that dbt-utils demonstrates.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-macro-documentation-yaml/https://adriennevermorel.com/notes/dbt-macro-documentation-yaml/Why _macros.yml beats inline SQL comments for documenting dbt macros, and how to write entries that developers actually use.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-macro-naming-conventions/https://adriennevermorel.com/notes/dbt-macro-naming-conventions/Naming patterns for dbt macros that make them discoverable, communicative, and well-organized — verb prefixes, descriptive names, internal helper conventions, and the one-macro-per-file rule.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-macro-rule-of-three/https://adriennevermorel.com/notes/dbt-macro-rule-of-three/Why you should wait until the third occurrence of a pattern before extracting a dbt macro — and what goes wrong when you don't.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-macro-testing-patterns/https://adriennevermorel.com/notes/dbt-macro-testing-patterns/Two approaches to testing dbt macros — integration test models and dbt 1.8 unit tests — plus the compile-and-inspect workflow for debugging.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-macros/https://adriennevermorel.com/notes/dbt-macros/How dbt macros work — Jinja fundamentals, writing custom macros, using dbt_utils, dispatch patterns, and when macros help vs hurtFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-materialization-anatomy/https://adriennevermorel.com/notes/dbt-materialization-anatomy/The six-step structure every dbt materialization follows — setup, pre-hooks, main SQL, post-hooks, cleanup, and return — plus the key objects and adapter methods.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-materialization-cost-impact-on-bigquery/https://adriennevermorel.com/notes/dbt-materialization-cost-impact-on-bigquery/How dbt materialization choices affect BigQuery costs -- table vs view vs ephemeral trade-offs, the view chain anti-pattern, and why defaulting to tables usually wins.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-materialization-default-tables/https://adriennevermorel.com/notes/dbt-materialization-default-tables/Why materializing every dbt model as a table by default — not views, not ephemeral — produces more debuggable, stable, and maintainable projects.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-mcp-server-local-vs-remote/https://adriennevermorel.com/notes/dbt-mcp-server-local-vs-remote/The two deployment modes for dbt's MCP server — local gives full CLI access and works without dbt Cloud, remote is read-only metadata and requires a Cloud plan.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-mcp-server-safety-considerations/https://adriennevermorel.com/notes/dbt-mcp-server-safety-considerations/The risks of giving an AI assistant dbt CLI access — production data modification, credential scope, Copilot credit consumption, and practical mitigations.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-mcp-server-setup-and-configuration/https://adriennevermorel.com/notes/dbt-mcp-server-setup-and-configuration/Step-by-step installation and configuration of the dbt MCP server — uv, environment variables, feature toggles, and client setup for Claude Code and Claude Desktop.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-mcp-server-setup-hub/https://adriennevermorel.com/notes/dbt-mcp-server-setup-hub/A reading path through connecting dbt to AI assistants via MCP — choosing between local and remote modes, tool capabilities, configuration, and safety.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-mcp-server-tool-reference/https://adriennevermorel.com/notes/dbt-mcp-server-tool-reference/Complete reference for the 20+ tools exposed by the dbt MCP server — CLI commands, metadata discovery, Semantic Layer queries, and job management.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-mesh-governance-triad/https://adriennevermorel.com/notes/dbt-mesh-governance-triad/How contracts, access controls, and model versioning combine in dbt Mesh to turn models into data products — and which models actually deserve that treatment.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-microbatch-strategy-tradeoffs/https://adriennevermorel.com/notes/dbt-microbatch-strategy-tradeoffs/The practical limitations and design tradeoffs of dbt's microbatch incremental strategy — UTC assumptions, no sub-hourly batches, and sequential execution.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-migration-validation-patterns/https://adriennevermorel.com/notes/dbt-migration-validation-patterns/How to validate a dbt migration — parallel execution, comparison queries, ML regression testing, and the practical approach to proving equivalence.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-model-contract-mechanics/https://adriennevermorel.com/notes/dbt-model-contract-mechanics/How dbt's native model contracts work — the preflight check, DDL generation, fail-fast behavior, configuration options, and what contracts do and don't validate.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-model-description-style-guide-hub/https://adriennevermorel.com/notes/dbt-model-description-style-guide-hub/Hub note for the dbt documentation style guide — why consistency beats effort, what to put in model and column descriptions, YAML formatting options, doc blocks, CI enforcement, and rollout strategyFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-model-description-writing-patterns/https://adriennevermorel.com/notes/dbt-model-description-writing-patterns/Practical patterns for writing dbt model, column, and source descriptions that serve both business users and engineers — the three-question framework and when to use meta instead of descriptionFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-model-versioning/https://adriennevermorel.com/notes/dbt-model-versioning/How dbt model versions work — breaking vs non-breaking changes, the state:modified selector, version integers, deprecation dates, and the friction points.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-operational-slash-commands/https://adriennevermorel.com/notes/dbt-operational-slash-commands/Practical Claude Code slash commands for daily dbt operations — building models, generating base models, running modified code, auditing quality, and cleaning up artifactsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-orchestration-decision-framework-gcp/https://adriennevermorel.com/notes/dbt-orchestration-decision-framework-gcp/A decision framework for choosing between Cloud Run Jobs, Cloud Workflows, and Cloud Composer for dbt orchestration on GCP — based on actual requirements, not arbitrary complexity thresholds.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-package-anatomy/https://adriennevermorel.com/notes/dbt-package-anatomy/What makes a dbt package different from a regular project — the three design principles, standard directory structure, and dbt_project.yml configuration for reusable packages.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-package-anti-patterns/https://adriennevermorel.com/notes/dbt-package-anti-patterns/Common mistakes in dbt packages — hardcoded schemas, missing dispatch, tight version constraints, generic model names, table defaults, and missing version bounds.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-package-ci-cd/https://adriennevermorel.com/notes/dbt-package-ci-cd/How to set up CI/CD for dbt packages — matrix testing across warehouses and dbt versions with GitHub Actions, credential management, and the integration test workflow.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-package-development-hub/https://adriennevermorel.com/notes/dbt-package-development-hub/A hub connecting all notes on building, testing, and publishing dbt packages — from project anatomy to CI/CD to Hub distribution.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-package-ecosystem-governance/https://adriennevermorel.com/notes/dbt-package-ecosystem-governance/Who maintains the dbt package ecosystem — dbt Labs, Fivetran, and community contributors — and how to evaluate a package's reliability before committing to it in production.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-package-ecosystem-hub/https://adriennevermorel.com/notes/dbt-package-ecosystem-hub/Navigation hub for the dbt package ecosystem — how installation works, what's available, version compatibility, and how to evaluate packages for production use.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-package-installation-types/https://adriennevermorel.com/notes/dbt-package-installation-types/The three ways to install dbt packages — Hub, Git, and local — and how to choose between them. Includes version conflict patterns and best practices for your root packages.yml.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-packageable-model-patterns/https://adriennevermorel.com/notes/dbt-packageable-model-patterns/Three patterns that make dbt models installable by anyone — configurable sources with var(), enable/disable flags, and namespaced model names.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-package-integration-testing/https://adriennevermorel.com/notes/dbt-package-integration-testing/The integration_tests sub-project pattern for testing dbt packages — using seeds as mock data, comparing outputs to expected results, and running the full suite.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-packages-vs-mesh/https://adriennevermorel.com/notes/dbt-packages-vs-mesh/When to use dbt packages (code sharing) vs dbt Mesh (data product sharing) — the conceptual distinction, practical differences, and how to choose.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-persist-docs-warehouse-comments/https://adriennevermorel.com/notes/dbt-persist-docs-warehouse-comments/How persist_docs pushes dbt descriptions directly to your data warehouse as table and column comments, making documentation available where analysts already workFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-private-packages-via-git/https://adriennevermorel.com/notes/dbt-private-packages-via-git/How to distribute internal dbt packages as Git dependencies — version pinning, authentication options, and trade-offs compared to Hub packages.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-production-safety-hooks/https://adriennevermorel.com/notes/dbt-production-safety-hooks/Using Claude Code PreToolUse hooks to block dangerous dbt commands before they execute — full-refresh on production, unscoped builds, and other high-risk operationsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-profiles-env-var-pattern/https://adriennevermorel.com/notes/dbt-profiles-env-var-pattern/Using env_var() interpolation in profiles.yml so dbt reads GCP credentials and project from environment variables — enabling seamless client switching via direnv.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-project-evaluator-for-documentation/https://adriennevermorel.com/notes/dbt-project-evaluator-for-documentation/How dbt-project-evaluator and dbt_meta_testing enforce documentation completeness in CI — materializing coverage as models and setting folder-level requirementsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-project-structure-guide-hub/https://adriennevermorel.com/notes/dbt-project-structure-guide-hub/A hub connecting all notes on structuring a dbt project — layers, naming, materialization, YAML, modern features, and marketing analytics patterns.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-quality-morning-summary-pattern/https://adriennevermorel.com/notes/dbt-quality-morning-summary-pattern/A two-cycle design for automated dbt quality reporting — daily morning summaries with Slack threading and follow-up capability, plus a weekly digest that surfaces patterns individual days miss.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-reusable-macros-hub/https://adriennevermorel.com/notes/dbt-reusable-macros-hub/A map through the garden notes on designing, naming, documenting, testing, and evolving dbt macros — from when to extract to how to handle breaking changes.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-scheduling-without-an-orchestrator/https://adriennevermorel.com/notes/dbt-scheduling-without-an-orchestrator/How to run dbt in production without Airflow, Dagster, or Prefect — the practical options from $0/month GitHub Actions to Cloud Run Jobs, when each fits, and when to move on.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-schema-validation-and-data-products-hub/https://adriennevermorel.com/notes/dbt-schema-validation-and-data-products-hub/Hub connecting notes on dbt's three validation mechanisms, source schema gaps, the Mesh governance triad, and contract-first development.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-service-account-multi-project-setup/https://adriennevermorel.com/notes/dbt-service-account-multi-project-setup/How to create and configure a dbt service account when your source data, transformation output, and compute infrastructure live in separate GCP projects.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-slot-management-on-bigquery/https://adriennevermorel.com/notes/dbt-slot-management-on-bigquery/How dbt's execution model interacts with BigQuery slots -- why dbt is compute-heavy, the multi-project workaround, and best practices for sizing slots for dbt workflows.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-single-responsibility-macros/https://adriennevermorel.com/notes/dbt-single-responsibility-macros/Why dbt macros should do one thing, how to recognize when they've outgrown their scope, and the composition pattern for building complex transformations from focused pieces.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-source-schema-validation/https://adriennevermorel.com/notes/dbt-source-schema-validation/How to validate source schema in dbt when contracts can't reach — using dbt-expectations on sources to catch column drift before transformation runs.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-test-alert-routing-and-ownership/https://adriennevermorel.com/notes/dbt-test-alert-routing-and-ownership/How to route dbt test failures to the right people, configure tiered alert severity, and apply the Broken Window principle to test suite health.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-test-output-parsing/https://adriennevermorel.com/notes/dbt-test-output-parsing/How to extract structured, actionable information from dbt test output — distinguishing failure types, capturing sample rows, and handling partial runs so automated monitoring doesn't miss anything.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-test-severity-and-performance-tuning/https://adriennevermorel.com/notes/dbt-test-severity-and-performance-tuning/How to configure dbt test severity levels, optimize expensive tests on BigQuery, and structure test execution for cost-effective data quality.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-test-failure-severity-framework/https://adriennevermorel.com/notes/dbt-test-failure-severity-framework/A four-tier framework for prioritizing dbt test failures by impact — combining test type, model layer, downstream dependents, and historical context into an actionable severity ranking.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-testing-strategy-hub/https://adriennevermorel.com/notes/dbt-testing-strategy-hub/Hub note for building a complete dbt testing strategy — taxonomy, layer placement, unit test selection, alert routing, and package ecosystem.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-testing-strategy-by-layer/https://adriennevermorel.com/notes/dbt-testing-strategy-by-layer/What to test at each layer of the dbt DAG — sources, base, intermediate, and mart — and why testing intensity should increase toward the edges.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-to-dataform-migration-hub/https://adriennevermorel.com/notes/dbt-to-dataform-migration-hub/Hub note for migrating from dbt to Dataform — the decision, the concept mapping, the procedural steps, and what you'll lose. For BigQuery teams evaluating the switch.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-to-dataform-migration-process/https://adriennevermorel.com/notes/dbt-to-dataform-migration-process/The step-by-step process for migrating a dbt project to Dataform — auditing what you have, running the automated tool, converting macros to JavaScript includes, recreating tests as assertions, and setting up orchestration.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-unit-tests-when-to-write-them/https://adriennevermorel.com/notes/dbt-unit-tests-when-to-write-them/Specific decision criteria for where native dbt unit tests pay off — complex logic scenarios, the incremental model override pattern, and what to skip.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-utils-generate-surrogate-key/https://adriennevermorel.com/notes/dbt-utils-generate-surrogate-key/How generate_surrogate_key works, why null handling matters, and why migrating from the old surrogate_key() macro can silently break incremental models and snapshots.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-utils-generic-tests/https://adriennevermorel.com/notes/dbt-utils-generic-tests/Full reference for dbt-utils generic tests: YAML syntax, the Fusion arguments: key change, group_by_columns support, and when to use each test.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-utils-hub/https://adriennevermorel.com/notes/dbt-utils-hub/Navigation hub for dbt-utils v1.3 — the full scope of the package, what moved to dbt-core, and pointers to each section of the reference.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-utils-introspective-macros/https://adriennevermorel.com/notes/dbt-utils-introspective-macros/How dbt-utils compile-time introspection macros work — get_column_values, get_relations_by_pattern, get_query_results_as_dict, and get_single_value — and when they cause problems.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-utils-sql-generators/https://adriennevermorel.com/notes/dbt-utils-sql-generators/Reference for dbt-utils SQL generation macros: date_spine, deduplicate, star, union_relations, pivot, unpivot, and the smaller helpers. What each does, how to call it, and the gotchas.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-utils-v1-migration/https://adriennevermorel.com/notes/dbt-utils-v1-migration/The complete list of macros that moved from dbt-utils to the dbt namespace at v1.0, what was removed entirely, and how to migrate an existing project.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-utils-web-macros/https://adriennevermorel.com/notes/dbt-utils-web-macros/dbt-utils URL extraction macros for marketing analytics: get_url_host, get_url_path, and get_url_parameter. What they do, where they're useful, and what they don't handle.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-validation-mechanism-comparison/https://adriennevermorel.com/notes/dbt-validation-mechanism-comparison/How dbt contracts, data tests, and dbt-expectations differ in when they fire, what they cover, and what they cost — and why you need all three.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-vs-dataform-templating-hub/https://adriennevermorel.com/notes/dbt-vs-dataform-templating-hub/Navigation hub for notes comparing Jinja (dbt) and JavaScript (Dataform) templating in analytics engineering — syntax, philosophy, strengths, and team fit.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/debugging-custom-dbt-materializations/https://adriennevermorel.com/notes/debugging-custom-dbt-materializations/Common errors in custom dbt materializations, what causes them, and how to test materializations systematically before deploying to production.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/deploying-dbt-on-cloud-functions-hub/https://adriennevermorel.com/notes/deploying-dbt-on-cloud-functions-hub/A step-by-step guide to deploying dbt Core on Google Cloud Functions — repository structure, service account setup, deployment, and scheduling with Cloud Scheduler.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/direnv-multi-client-gcp-setup/https://adriennevermorel.com/notes/direnv-multi-client-gcp-setup/Automate per-project GCP credential loading with direnv — .envrc configuration, the four-variable pattern, and a five-minute setup for each new client.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-authentication-patterns/https://adriennevermorel.com/notes/dlt-authentication-patterns/The authentication strategies dlt provides for API pipelines — bearer tokens, API keys, OAuth2 client credentials — and how to extend them for non-standard flows.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-bigquery-integration/https://adriennevermorel.com/notes/dlt-bigquery-integration/How dlt loads data into BigQuery — the two loading strategies (streaming vs. GCS staging), the bigquery_adapter for partitioning and clustering, nested JSON normalization, and the metadata tables dlt creates.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-core-concepts/https://adriennevermorel.com/notes/dlt-core-concepts/The four building blocks of dlt pipelines — sources, resources, pipelines, and schemas — and the three write dispositions that control how data lands.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-custom-api-pipelines-hub/https://adriennevermorel.com/notes/dlt-custom-api-pipelines-hub/A map of the concepts and patterns involved in building production API pipelines with dlt — from choosing an approach through deployment.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-dependent-resources/https://adriennevermorel.com/notes/dlt-dependent-resources/How dlt lets one resource use another's output to configure its endpoint — the path template syntax for multi-step API traversal.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-deployment-options/https://adriennevermorel.com/notes/dlt-deployment-options/Where and how to run dlt pipelines in production — GitHub Actions, Airflow, Modal serverless, and other platforms — with the dlt deploy command as the starting point.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-environment-setup/https://adriennevermorel.com/notes/dlt-environment-setup/Setting up a dlt project from scratch — Python virtual environment, installation, dlt init, and the project scaffold it creates.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-for-ai-assisted-pipeline-development/https://adriennevermorel.com/notes/dlt-for-ai-assisted-pipeline-development/Why dlt's Python-native, declarative design maps well to AI-assisted development — the REST API builder, BigQuery-specific features, LLM-friendly docs, and production resultsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-google-ads-pipeline/https://adriennevermorel.com/notes/dlt-google-ads-pipeline/Building a Google Ads to BigQuery pipeline with dlt — the verified source, GAQL query patterns, incremental loading, and deployment options.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-hands-on-tutorial-hub/https://adriennevermorel.com/notes/dlt-hands-on-tutorial-hub/A reading path through the concepts in the hands-on dlt tutorial — environment setup, REST API Source config, dependent resources, and incremental loading.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-incremental-loading/https://adriennevermorel.com/notes/dlt-incremental-loading/How dlt tracks state between pipeline runs using cursor-based incremental loading — the dlt.sources.incremental() helper, declarative REST API config, and why state lives in the destination.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-pagination-patterns/https://adriennevermorel.com/notes/dlt-pagination-patterns/The built-in paginators dlt provides for common API patterns, and how to extend BasePaginator for APIs that don't follow standard conventions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-pipeline-testing/https://adriennevermorel.com/notes/dlt-pipeline-testing/Testing dlt pipelines locally with DuckDB before hitting production — unit tests with resource limits, integration tests for schema validation, and common debugging patterns.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-python-native-loader-hub/https://adriennevermorel.com/notes/dlt-python-native-loader-hub/A reading path through dlt's core mechanics — from building blocks through BigQuery-specific loading to incremental state tracking.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-rest-api-source-configuration/https://adriennevermorel.com/notes/dlt-rest-api-source-configuration/How to configure dlt's declarative REST API Source — the client block, resources block, endpoint paths, pagination wiring, and what dlt does automatically with the data.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-restclient-mechanics/https://adriennevermorel.com/notes/dlt-restclient-mechanics/How dlt's RESTClient works — instantiation, the paginate() method, key parameters, and built-in error handling with retry and backoff.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-restclient-vs-rest-api-source/https://adriennevermorel.com/notes/dlt-restclient-vs-rest-api-source/The two approaches dlt offers for building custom API pipelines — imperative RESTClient and declarative REST API Source — and how to choose between them.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dlt-secrets-management/https://adriennevermorel.com/notes/dlt-secrets-management/How dlt's configuration hierarchy keeps credentials out of code — the priority order, secrets.toml for local development, environment variables for CI/CD, and vault integrations.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/documentation-quality-determines-ai-usefulness/https://adriennevermorel.com/notes/documentation-quality-determines-ai-usefulness/Why the quality of your dbt documentation directly determines how useful AI tools can be — the Roche chatbot failure, the docs-to-AI feedback loop, and case studies in enforcementFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-alert-fatigue-reduction/https://adriennevermorel.com/notes/elementary-alert-fatigue-reduction/How to configure suppression intervals, alert grouping, and sampling controls in Elementary to keep signal-to-noise ratio high as test suites grow.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-alert-routing-with-filters/https://adriennevermorel.com/notes/elementary-alert-routing-with-filters/How to run multiple edr monitor commands with different filters to route alerts by tag, owner, status, or resource type to different channels and incident management tools.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-alerting-hub/https://adriennevermorel.com/notes/elementary-alerting-hub/A reading path through Elementary's alerting system -- from the edr monitor command through Slack/Teams setup, filter-based routing, alert fatigue reduction, and on-call strategy.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-cli-profile-configuration/https://adriennevermorel.com/notes/elementary-cli-profile-configuration/How to configure the Elementary CLI (edr) profile for BigQuery, Snowflake, and Databricks -- including the gotchas that differ from your dbt profile.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-dashboard-organization/https://adriennevermorel.com/notes/elementary-dashboard-organization/How to organize Elementary dashboards and reports by domain, criticality, and refresh cadence so they stay useful as your project grows.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-custom-bi-dashboards/https://adriennevermorel.com/notes/elementary-custom-bi-dashboards/How to build custom data quality dashboards in any BI tool by querying Elementary's warehouse tables directly, with example SQL for the most useful metrics.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-data-quality-dashboards-hub/https://adriennevermorel.com/notes/elementary-data-quality-dashboards-hub/Hub for building data quality dashboards with Elementary: generating reports, hosting them for team access, building custom BI dashboards, and designing KPIs.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-dbt-materialization-override/https://adriennevermorel.com/notes/elementary-dbt-materialization-override/Why Elementary requires a materialization override macro in dbt 1.8+ projects, what happens without it, and how to write it correctly for BigQuery and Snowflake.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-dbt-setup-hub/https://adriennevermorel.com/notes/elementary-dbt-setup-hub/A sequenced map of notes covering Elementary installation from scratch -- dbt package, materialization override, CLI profile configuration, and troubleshooting.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-edr-monitor-alerting/https://adriennevermorel.com/notes/elementary-edr-monitor-alerting/How edr monitor works, how it differs from edr report, and how to configure alert metadata in model YAML to control who gets notified and when.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-html-report-command/https://adriennevermorel.com/notes/elementary-html-report-command/How the edr report command works, which flags matter in practice, and patterns for generating targeted reports for different audiences.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-report-hosting/https://adriennevermorel.com/notes/elementary-report-hosting/How to host Elementary HTML reports on S3, GCS, or Azure Blob Storage so the whole team has access, and how to automate report generation in CI pipelines.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-report-sections/https://adriennevermorel.com/notes/elementary-report-sections/What each section of the Elementary HTML report shows and when to use each one during a data quality review.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-setup-troubleshooting/https://adriennevermorel.com/notes/elementary-setup-troubleshooting/Fixes for the most common Elementary installation failures: empty reports, missing edr command, BigQuery location errors, tables materialized as views, and Databricks permission issues.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-slack-teams-integration/https://adriennevermorel.com/notes/elementary-slack-teams-integration/How to connect Elementary alerts to Slack (token-based and webhook) and Microsoft Teams, including the tradeoffs between integration methods.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elt-connector-quality-comparison/https://adriennevermorel.com/notes/elt-connector-quality-comparison/How Fivetran, Airbyte, and dlt differ in connector count, quality tiers, and their approaches to handling sources that don't have pre-built connectors.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/event-grain-sessionization/https://adriennevermorel.com/notes/event-grain-sessionization/Why enriching events with session context beats building session-grain tables, and how the pattern enables flexible downstream analysis.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/eu-cookie-consent-legal-framework/https://adriennevermorel.com/notes/eu-cookie-consent-legal-framework/The two overlapping EU legal frameworks governing cookie consent — ePrivacy Directive and GDPR — what valid consent actually requires, which cookies are exempt, and where enforcement stands in 2026.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/eventarc-event-driven-dbt-triggers/https://adriennevermorel.com/notes/eventarc-event-driven-dbt-triggers/Using Eventarc to trigger dbt runs when upstream data arrives — Cloud Storage object creation, BigQuery audit log events, and combining event-driven with scheduled execution.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/expense-capture-as-habit-layer/https://adriennevermorel.com/notes/expense-capture-as-habit-layer/Using natural language logging and receipt OCR to close the gap between 'I spent money' and 'that expense is recorded somewhere useful' — why capture is the real problem, not the accounting.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/fastmcp-server-skeleton/https://adriennevermorel.com/notes/fastmcp-server-skeleton/Minimal MCP server examples in Python (FastMCP) and TypeScript (McpServer) — the starting point for any custom server build.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/feature-engineering-for-ml-in-dbt/https://adriennevermorel.com/notes/feature-engineering-for-ml-in-dbt/How to structure dbt intermediate models as ML feature tables — including time-windowed aggregations, domain-separated feature sets, and joining them into a labeled training dataset.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/first-party-data-compliance-hub/https://adriennevermorel.com/notes/first-party-data-compliance-hub/Hub connecting the browser restrictions, server-side infrastructure, EU/US legal frameworks, and identity resolution approaches that together determine how much advertising and analytics signal you can legally collect in 2026.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/fivetran-dbt-packages-architecture/https://adriennevermorel.com/notes/fivetran-dbt-packages-architecture/How Fivetran structures its 60+ dbt packages — the unified source-plus-transform model, cross-platform reporting bundles, and the installation pattern that avoids version conflicts.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/fivetran-dbt-packages-for-crm/https://adriennevermorel.com/notes/fivetran-dbt-packages-for-crm/What dbt_salesforce and dbt_hubspot provide out of the box — model coverage, configuration, pass-through columns, history mode support, and naming convention tradeoffs.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/fivetran-mar-pricing-shift/https://adriennevermorel.com/notes/fivetran-mar-pricing-shift/How Fivetran's March 2025 shift to per-connector MAR pricing broke the economics of managed ELT — bulk discount elimination, 4-8x cost increases, and the marketing data problemFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/floating-point-precision-in-data-comparison/https://adriennevermorel.com/notes/floating-point-precision-in-data-comparison/Why exact equality fails for floating-point values in data comparison, and practical strategies for handling precision mismatches.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/full-refresh-false-guard-in-dbt/https://adriennevermorel.com/notes/full-refresh-false-guard-in-dbt/When and why to set full_refresh: false on dbt incremental models — preventing accidental multi-hour rebuilds while keeping intentional full refreshes possible.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/freelance-admin-overhead-problem/https://adriennevermorel.com/notes/freelance-admin-overhead-problem/Why solo consultants spend 20-30% of their time on non-billable admin, why the standard fixes don't work, and what makes a single agent different from another SaaS subscription.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-bigquery-export-table-types/https://adriennevermorel.com/notes/ga4-bigquery-export-table-types/The four table types in a GA4 BigQuery export dataset — daily, intraday, and user tables — their timing, limitations, costs, and when to use each.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-bigquery-query-patterns/https://adriennevermorel.com/notes/ga4-bigquery-query-patterns/Efficient querying of GA4 date-sharded tables — _TABLE_SUFFIX filtering, inline vs FROM clause UNNEST, reusable dbt macros, and cost control practices.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-bigquery-number-discrepancies/https://adriennevermorel.com/notes/ga4-bigquery-number-discrepancies/Why your BigQuery session and user counts won't match the GA4 interface, and the practical approach to handling the 1-5% variance.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-bigquery-schema-hub/https://adriennevermorel.com/notes/ga4-bigquery-schema-hub/Hub note connecting all concepts needed to understand and query the GA4 BigQuery export schema — table types, nested structures, gotchas, and query patterns.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-bigquery-timezone-handling/https://adriennevermorel.com/notes/ga4-bigquery-timezone-handling/Three different timezone contexts coexist in GA4 BigQuery exports — event_timestamp, event_date, and _TABLE_SUFFIX each use different references that silently break date-range queries.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-consent-mode-orphaned-events/https://adriennevermorel.com/notes/ga4-consent-mode-orphaned-events/How Consent Mode creates rows in GA4 BigQuery exports with null user_pseudo_id and session identifiers — what they are, how they affect counts, and same-page backstitching behavior.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-channel-grouping-macro/https://adriennevermorel.com/notes/ga4-channel-grouping-macro/A dbt macro that encapsulates Google's default channel grouping logic as reusable SQL, with the regex patterns and edge cases you need to know.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-dbt-package-ecosystem/https://adriennevermorel.com/notes/ga4-dbt-package-ecosystem/An overview of the major open-source dbt packages for GA4 BigQuery exports — what they optimize for, what they miss, and when to build custom.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-dbt-project-configuration/https://adriennevermorel.com/notes/ga4-dbt-project-configuration/The dbt_project.yml setup for a GA4 project — variable-driven configuration, folder-level materializations, and the project variables that make the template reusable.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-dbt-project-template-hub/https://adriennevermorel.com/notes/ga4-dbt-project-template-hub/Hub connecting all concepts in building a production-ready dbt project for GA4 BigQuery exports — from base model to marts, with testing and documentation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-dbt-testing-patterns/https://adriennevermorel.com/notes/ga4-dbt-testing-patterns/Data quality tests for GA4 dbt projects that catch tracking failures standard schema tests miss — missing session_start events, orphaned transactions, suspicious session metrics.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-ecommerce-items-unnest-pattern/https://adriennevermorel.com/notes/ga4-ecommerce-items-unnest-pattern/How to handle GA4's nested items array in dbt — building a separate item-level grain model with intentional Cartesian UNNEST.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-ecommerce-schema/https://adriennevermorel.com/notes/ga4-ecommerce-schema/The ecommerce RECORD and items REPEATED RECORD in GA4's BigQuery export — field reference, nested item_params, and query patterns for purchase analysis.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-event-ordering-with-batch-fields/https://adriennevermorel.com/notes/ga4-event-ordering-with-batch-fields/How to use batch_event_index, batch_ordering_id, and batch_page_id for deterministic event sequencing in GA4 BigQuery exports.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-events-sessionized-model/https://adriennevermorel.com/notes/ga4-events-sessionized-model/The implementation of the wide event-grain intermediate model for GA4 — the CTE structure, window function patterns, and design decisions that make downstream analysis flexible.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-event-params-type-detection/https://adriennevermorel.com/notes/ga4-event-params-type-detection/How GA4 auto-detects parameter types across string_value, int_value, and double_value fields — and the defensive COALESCE pattern when the type isn't guaranteed.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-identity-graph-bigquery/https://adriennevermorel.com/notes/ga4-identity-graph-bigquery/How to build a production identity graph from GA4 BigQuery data — mapping user_id to all associated devices, detecting shared devices and anomalies, and structuring forward and reverse lookups.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-identity-stitching-techniques/https://adriennevermorel.com/notes/ga4-identity-stitching-techniques/The four SQL patterns for resolving GA4 anonymous-to-known user identity — last-touch, first-touch, full backstitch, and session-scoped — with a decision framework for choosing between them.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-parameter-extraction-macro/https://adriennevermorel.com/notes/ga4-parameter-extraction-macro/A reusable dbt macro for extracting GA4 event parameters without row multiplication, including the numeric variant for int/float/double fields.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-reporting-identity-modes/https://adriennevermorel.com/notes/ga4-reporting-identity-modes/How GA4's three reporting identity modes (Blended, Observed, Device-based) apply user resolution in the interface — and why none of that logic reaches BigQuery.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-schema-evolution-monitoring/https://adriennevermorel.com/notes/ga4-schema-evolution-monitoring/GA4's BigQuery schema changes without announcements and new fields are never retroactive. How to detect additions before they break production queries.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-session-key-construction/https://adriennevermorel.com/notes/ga4-session-key-construction/Why ga_session_id alone fails as a session identifier, how to build the correct composite key, and the edge cases that produce null sessions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-session-start-event-unreliability/https://adriennevermorel.com/notes/ga4-session-start-event-unreliability/Why counting session_start events produces wrong session counts in GA4 BigQuery data, and the correct approach using distinct session IDs.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-sessionization-hub/https://adriennevermorel.com/notes/ga4-sessionization-hub/Hub note connecting all concepts involved in building session tables from GA4 BigQuery event data.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-sharded-to-partitioned-base-model/https://adriennevermorel.com/notes/ga4-sharded-to-partitioned-base-model/How to convert GA4's date-sharded BigQuery export into a properly partitioned incremental dbt model, and why the static lookback pattern is critical for correctness.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-traffic-source-fields/https://adriennevermorel.com/notes/ga4-traffic-source-fields/The four traffic source locations in GA4 BigQuery exports — their scopes, use cases, and the July 2024 cutoff that changed session attribution.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-user-backstitching/https://adriennevermorel.com/notes/ga4-user-backstitching/How to retroactively apply GA4 user_id to anonymous sessions in the warehouse — the SQL pattern, shared device handling, and when backstitching is worth the complexity.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-user-id-data-quality/https://adriennevermorel.com/notes/ga4-user-id-data-quality/Common implementation bugs that corrupt GA4 user_id data — string 'null' values, logout tagging errors, suspicious high-cardinality IDs — and the SQL patterns to detect and filter them.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-user-identity-hub/https://adriennevermorel.com/notes/ga4-user-identity-hub/Map of content for GA4 identity resolution in BigQuery — from understanding the two identifier types through stitching techniques, production pipelines, and ongoing monitoring.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-user-provided-data-bigquery-trap/https://adriennevermorel.com/notes/ga4-user-provided-data-bigquery-trap/Enabling User-provided data in GA4 admin permanently disables user_id export to BigQuery with no reversal option — what this means and how to protect your pipelines.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-user-mart-pattern/https://adriennevermorel.com/notes/ga4-user-mart-pattern/Building a user-grain mart from GA4 session data — first/last touch attribution, lifetime value aggregation, and identity stitching with user_pseudo_id and user_id.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-window-function-pitfalls/https://adriennevermorel.com/notes/ga4-window-function-pitfalls/Three window function traps specific to GA4 sessionization: the LAST_VALUE framing trap, IGNORE NULLS for sparse event data, and MAX for session-scoped boolean flags.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gcp-application-default-credentials/https://adriennevermorel.com/notes/gcp-application-default-credentials/The difference between gcloud auth login and Application Default Credentials — why they exist, how they work, and why ADC is what MCP servers and SDKs actually use.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gcp-auth-multi-client-hub/https://adriennevermorel.com/notes/gcp-auth-multi-client-hub/Hub note for GCP credential isolation across multiple client projects — the problem, the four-variable solution, tool-specific agent constraints, and the service account vs impersonation tradeoff.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gcp-cloudsdk-config-isolation/https://adriennevermorel.com/notes/gcp-cloudsdk-config-isolation/How CLOUDSDK_CONFIG isolates all gcloud state per project — credentials, ADC files, active config — and why it's the missing piece for multi-client GCP work.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gcp-iam-least-privilege-hub/https://adriennevermorel.com/notes/gcp-iam-least-privilege-hub/A sequenced guide to auditing and fixing IAM debt on GCP data platforms — from surfacing over-permissioned principals to implementing policy tags and row-level security.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gcp-processing-engine-selection/https://adriennevermorel.com/notes/gcp-processing-engine-selection/When to use Dataflow, Dataproc, Dataproc Serverless, and BigQuery SQL for data transformation on GCP — matched to team expertise and workload type, not arbitrary scale thresholds.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-bigquery-dts-hub/https://adriennevermorel.com/notes/google-ads-bigquery-dts-hub/Hub note for the free Google Ads → BigQuery pipeline — setup, schema quirks, known data gaps, and dbt modeling patterns.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/github-actions-dbt-scheduling/https://adriennevermorel.com/notes/github-actions-dbt-scheduling/Using GitHub Actions scheduled workflows as a zero-infrastructure dbt runner — what it covers well, where it falls short, and when to use it over Cloud Run.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-bigquery-dts-setup/https://adriennevermorel.com/notes/google-ads-bigquery-dts-setup/How the Google Ads BigQuery Data Transfer Service works — what it gives you, how the schema is organized, MCC vs per-account setup, and the defaults that will hurt you.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-bigquery-loading-hub/https://adriennevermorel.com/notes/google-ads-bigquery-loading-hub/Four ways to load Google Ads data into BigQuery — a map through the decision landscape.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-clicktype-impression-trap/https://adriennevermorel.com/notes/google-ads-clicktype-impression-trap/Why Google Ads DTS stats tables silently inflate impression counts 3-6x, and the exact SQL filter that fixes it without breaking click counts.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-developer-token/https://adriennevermorel.com/notes/google-ads-developer-token/What the Google Ads developer token is, how access levels work, why approval takes months, and which loading tools require one.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-dts-dbt-integration/https://adriennevermorel.com/notes/google-ads-dts-dbt-integration/How to model Google Ads BigQuery DTS tables in dbt — source configuration, incremental strategy for partition replacement, and conversion lookback windows.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-enhanced-conversions-server-side/https://adriennevermorel.com/notes/google-ads-enhanced-conversions-server-side/How to configure Google Ads conversion tracking server-side — the Conversion Linker tag that manages the FPGCLAW cookie, Enhanced Conversions for hashed user data, and realistic uplift expectations.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-performance-max-data-gaps/https://adriennevermorel.com/notes/google-ads-performance-max-data-gaps/Why Performance Max campaign data is incomplete in BigQuery DTS, what's actually missing, and how to get the data you need.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-ads-scripts-bigquery/https://adriennevermorel.com/notes/google-ads-scripts-bigquery/Using Google Ads Scripts to export performance data directly to BigQuery — how the authentication model works, what the execution limits are, and when this approach beats the alternatives.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-oauth-cli-setup-gotchas/https://adriennevermorel.com/notes/google-oauth-cli-setup-gotchas/The specific mistakes that cause OAuth setup to fail silently for Google Workspace CLI tools — wrong application type, missing test users, and the scope limit trap.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-sheets-as-analytics-data-source/https://adriennevermorel.com/notes/google-sheets-as-analytics-data-source/How Google Sheets functions as a shadow data source in GCP analytics stacks — the integration patterns, the automation gap gws fills, and the convergence of data and productivity tooling.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-workspace-cli-gws/https://adriennevermorel.com/notes/google-workspace-cli-gws/The gws CLI gives programmatic access to every Google Workspace API through a single binary — Gmail, Drive, Calendar, Sheets, Docs — filling the gap gcloud has never covered.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/google-workspace-cli-hub/https://adriennevermorel.com/notes/google-workspace-cli-hub/Hub note for the gws CLI ecosystem — the tool itself, agent-first design principles, OAuth setup, CLI vs MCP tradeoffs, and Sheets as a data source.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-aws-hosting/https://adriennevermorel.com/notes/gtm-server-side-aws-hosting/How to host the GTM Server-Side tagging container on AWS using ECS Fargate, why App Runner costs more, and why Lambda is architecturally incompatible.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-azure-hosting/https://adriennevermorel.com/notes/gtm-server-side-azure-hosting/How to host the GTM Server-Side tagging container on Azure using App Service or Container Apps, with pricing tiers and SSL configuration notes.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-cloud-run-deployment/https://adriennevermorel.com/notes/gtm-server-side-cloud-run-deployment/How to deploy GTM Server-Side on Google Cloud Run — automatic vs manual provisioning, production configuration settings, custom domain setup, and multi-region architecture for global traffic.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-data-flow/https://adriennevermorel.com/notes/gtm-server-side-data-flow/How GTM Server-Side works as an intermediary layer — the request/response data flow, and the four component types (Clients, Tags, Triggers, Variables/Transformations) that make it up.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-common-failures/https://adriennevermorel.com/notes/gtm-server-side-common-failures/The ten most common GTM Server-Side implementation mistakes — from missing custom domains and silent trigger failures to Cloud Logging cost surprises and Safari IP mismatch — with diagnostic guidance for each.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-hosting-costs/https://adriennevermorel.com/notes/gtm-server-side-hosting-costs/The real cost of running GTM Server-Side — Cloud Run pricing by traffic tier, the Cloud Logging cost trap, and a comparison of managed alternatives (Stape, Addingwell, Cloudflare Zaraz).Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-hosting-decision-framework/https://adriennevermorel.com/notes/gtm-server-side-hosting-decision-framework/How to choose between Cloud Run, AWS ECS Fargate, Azure App Service, and managed providers for hosting your GTM Server-Side container in production.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-hub/https://adriennevermorel.com/notes/gtm-server-side-hub/Index of garden notes on GTM Server-Side — architecture, Cloud Run deployment, GA4 configuration, Meta CAPI, Google Ads, hosting costs, and common failures.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/gtm-server-side-managed-hosting-providers/https://adriennevermorel.com/notes/gtm-server-side-managed-hosting-providers/Comparison of Stape, Addingwell, TAGGRS, and Cloudflare Zaraz as managed alternatives to self-hosting GTM Server-Side containers on cloud infrastructure.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/hubspot-association-bridge-tables/https://adriennevermorel.com/notes/hubspot-association-bridge-tables/HubSpot's many-to-many association model requires bridge tables at every layer. How to model them correctly, handle fan-out, and resolve the primary company problem.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/hubspot-bigquery-pipeline-hub/https://adriennevermorel.com/notes/hubspot-bigquery-pipeline-hub/All the moving parts for a HubSpot-to-BigQuery pipeline with dbt: associations, lifecycle stages, deal stages, property history, ingestion tools, and the dbt_hubspot package.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/hubspot-deal-stage-modeling/https://adriennevermorel.com/notes/hubspot-deal-stage-modeling/Why deal stage transitions live in DEAL_STAGE not DEAL_PROPERTY_HISTORY, how to use the is_closed and label columns correctly, and patterns for time-in-stage and pipeline analysis.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/hubspot-property-history-mechanics/https://adriennevermorel.com/notes/hubspot-property-history-mechanics/How HubSpot's property history tables work, their retention limits, why CALCULATED properties inflate sync costs, and how to model history data without surprises.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/hubspot-lifecycle-stages-in-the-warehouse/https://adriennevermorel.com/notes/hubspot-lifecycle-stages-in-the-warehouse/How HubSpot's lifecycle stage model maps to warehouse columns, why forward-only transitions make funnel analysis straightforward, and how to handle merged contact artifacts.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/hybrid-elt-strategy/https://adriennevermorel.com/notes/hybrid-elt-strategy/When to buy managed ELT, when to build with dlt + AI, and the practical migration path — a decision framework for splitting your pipeline portfolio strategicallyFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/iam-debt-audit-gcp/https://adriennevermorel.com/notes/iam-debt-audit-gcp/Bash and SQL queries to surface Editor roles, service accounts with keys, and shared credentials — the starting point for any GCP IAM cleanup.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/iam-drift-monitoring-gcp/https://adriennevermorel.com/notes/iam-drift-monitoring-gcp/Catch IAM debt before it accumulates — IAM Recommender, INFORMATION_SCHEMA job monitoring, and audit log queries to detect permission drift quarterly.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/iam-rbac-google-groups-pattern/https://adriennevermorel.com/notes/iam-rbac-google-groups-pattern/Bind IAM roles to Google Groups representing job functions, not individual users — the pattern that makes onboarding, offboarding, and permission audits tractable.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/idempotent-incremental-models-in-dbt/https://adriennevermorel.com/notes/idempotent-incremental-models-in-dbt/How to build dbt incremental models that produce identical results regardless of how many times they run, using pre-deduplication and proper unique_key design.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/identity-resolution-ad-measurement/https://adriennevermorel.com/notes/identity-resolution-ad-measurement/How Enhanced Conversions, Unified ID 2.0, and data clean rooms recover attribution signal after cookies fail — what each approach does, what it requires, and realistic uplift estimates.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/identity-resolution-monitoring/https://adriennevermorel.com/notes/identity-resolution-monitoring/Key metrics and anomaly detection SQL for monitoring a GA4 identity stitching pipeline — stitch rate, consolidation rate, shared device exposure, and week-over-week change alerts.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/identity-resolution-for-customer-360/https://adriennevermorel.com/notes/identity-resolution-for-customer-360/How to link CRM contact records to GA4 cookie identifiers in BigQuery — the three join key strategies, deterministic vs probabilistic matching, and open-source tooling.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/incremental-predicates-for-dbt-merge/https://adriennevermorel.com/notes/incremental-predicates-for-dbt-merge/How incremental_predicates limit destination table scans during dbt merge operations, turning full table scans into partition-pruned reads.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/incrementality-testing-for-attribution/https://adriennevermorel.com/notes/incrementality-testing-for-attribution/How to validate attribution models with causal experiments — holdout tests, geo tests, and platform lift studies that measure whether a channel actually drives conversionsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ios14-signal-loss-meta-measurement/https://adriennevermorel.com/notes/ios14-signal-loss-meta-measurement/How Apple's App Tracking Transparency changed Meta ad measurement — IDFA collapse, default attribution window changes, Aggregated Event Measurement, and Conversions API as the response.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/javascript-vs-jinja-in-analytics-engineering/https://adriennevermorel.com/notes/javascript-vs-jinja-in-analytics-engineering/The philosophical and practical differences between Dataform's JavaScript templating and dbt's Jinja2 — where they diverge, what each excels at, and how to convert between them.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/jinja-templating-for-sql-practitioners/https://adriennevermorel.com/notes/jinja-templating-for-sql-practitioners/Why Jinja feels natural to SQL-first analytics engineers — the double-brace model, macros as SQL helpers, and the separation of concerns that keeps transformation files focused.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/kpi-reporting-direct-warehouse-queries/https://adriennevermorel.com/notes/kpi-reporting-direct-warehouse-queries/Why querying the warehouse directly beats dashboard scraping for scheduled KPI delivery — the BigQuery and Snowflake CLI patterns, how to structure pre-written SQL for agent-driven reporting, and the tradeoffs of the approach.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/late-arriving-data-in-dbt-hub/https://adriennevermorel.com/notes/late-arriving-data-in-dbt-hub/Hub note connecting all concepts around handling late-arriving data in dbt incremental models: measurement, lookback windows, partition strategies, deduplication, testing, and operational safety.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/late-arriving-data-lookback-window-pattern/https://adriennevermorel.com/notes/late-arriving-data-lookback-window-pattern/How to handle late-arriving data in dbt incremental models using lookback windows, including window sizing trade-offs and the limits of any lookback approach.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lead-scoring-signal-dimensions/https://adriennevermorel.com/notes/lead-scoring-signal-dimensions/The four categories of signals that drive lead scoring — demographic fit, firmographic fit, behavioral engagement, and recency — and why the warehouse sees all of them when the CRM can't.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-dbt-metrics-yaml-hub/https://adriennevermorel.com/notes/lightdash-dbt-metrics-yaml-hub/Hub note for Lightdash metric configuration in dbt YAML — dimensions, metric types, joins, and scaling organization.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lead-scoring-warehouse-hub/https://adriennevermorel.com/notes/lead-scoring-warehouse-hub/Hub note for warehouse-native lead scoring — from rule-based weighted models in dbt to BigQuery ML classification, feature engineering, and reverse ETL back to the CRM.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-dbt-project-connection/https://adriennevermorel.com/notes/lightdash-dbt-project-connection/The three mechanisms for connecting Lightdash to a dbt project — Git repository integration, CLI deployment, and CI/CD automation — and how Lightdash generates a BI layer from dbt YAML.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-dimensions-yaml/https://adriennevermorel.com/notes/lightdash-dimensions-yaml/How Lightdash turns dbt column definitions into dimensions — types, display properties, time intervals, and computed additional_dimensions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-joins-and-fanout-protection/https://adriennevermorel.com/notes/lightdash-joins-and-fanout-protection/How to define joins between dbt models in Lightdash YAML, why the relationship property matters for metric accuracy, and how Lightdash warns about fanout risk in one-to-many joins.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-metric-types/https://adriennevermorel.com/notes/lightdash-metric-types/The three categories of Lightdash metrics — aggregate, non-aggregate, and post-calculation — plus column-level vs model-level placement, filters, and display configuration.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-metrics-at-scale/https://adriennevermorel.com/notes/lightdash-metrics-at-scale/How to keep a large Lightdash implementation navigable — groups, group_details, the Metrics Catalog with Spotlight categories, and reusable parameters for values that change across deployments.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-open-source-self-hosting-hub/https://adriennevermorel.com/notes/lightdash-open-source-self-hosting-hub/Hub note for Lightdash self-hosting — connecting to dbt, Docker Compose setup, Kubernetes deployment, and the open-source vs paid tier tradeoffs.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-production-kubernetes/https://adriennevermorel.com/notes/lightdash-production-kubernetes/Moving Lightdash from Docker Compose to Kubernetes with the community Helm chart — production checklist, external dependencies, authentication options, and upgrade strategy.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-self-hosting-docker/https://adriennevermorel.com/notes/lightdash-self-hosting-docker/How to run Lightdash with Docker Compose — required services, environment variables, known gotchas, and what to expect in small-team production deployments.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/linkedin-ads-analytics-endpoint/https://adriennevermorel.com/notes/linkedin-ads-analytics-endpoint/The engineering quirks of LinkedIn's adAnalytics endpoint — no pagination, 15K element cap, 20-metric limit per request, query tunneling, cursor pagination migration, and monthly API versioning.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/lightdash-vs-metricflow-semantic-layer/https://adriennevermorel.com/notes/lightdash-vs-metricflow-semantic-layer/How Lightdash's native metric layer differs from MetricFlow — simpler syntax, tighter coupling, no cross-platform API — and when the tradeoffs favor each approach.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/linkedin-ads-api-access/https://adriennevermorel.com/notes/linkedin-ads-api-access/How to get approved for LinkedIn's Marketing API — the developer app setup, super admin verification, manual review process, rejection handling, and what to include in your application.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/linkedin-ads-b2b-data-value/https://adriennevermorel.com/notes/linkedin-ads-b2b-data-value/What makes LinkedIn Ads data uniquely valuable for B2B analytics — professional demographic pivots, the negative CTR-to-pipeline correlation, company-level impression attribution, and what metrics actually matter.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/linkedin-ads-oauth-token-management/https://adriennevermorel.com/notes/linkedin-ads-oauth-token-management/LinkedIn's OAuth token expiration model for the Marketing API — 60-day access tokens, 365-day refresh tokens, forced annual re-authentication, and operational strategies for custom pipelines.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/linkedin-ads-dbt-modeling/https://adriennevermorel.com/notes/linkedin-ads-dbt-modeling/How to model LinkedIn Ads data in dbt — the campaign hierarchy rename, metric normalization, cross-platform integration via dbt_ad_reporting, and the incremental strategy for 90-day attribution windows.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/linkedin-ads-pipeline-hub/https://adriennevermorel.com/notes/linkedin-ads-pipeline-hub/Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/llm-as-content-cleaner/https://adriennevermorel.com/notes/llm-as-content-cleaner/Using a cheap LLM like GPT-4o-mini to strip navigation, CTAs, and HTML noise from scraped markdown — a reliable pattern for web content pipelines.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/llm-training-data-asymmetry-for-tool-use/https://adriennevermorel.com/notes/llm-training-data-asymmetry-for-tool-use/Why LLMs write better shell commands than MCP tool calls — the training data distribution that makes CLI fluency outperform structured tool-calling for well-established tools.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/looker-studio-bigquery-performance-hub/https://adriennevermorel.com/notes/looker-studio-bigquery-performance-hub/Map of garden notes on optimizing Looker Studio dashboards backed by BigQuery: BI Engine, extract mode, blending pitfalls, caching, credentials, and upgrade decisions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/looker-studio-caching-mechanics/https://adriennevermorel.com/notes/looker-studio-caching-mechanics/How Looker Studio's per-chart cache works, why date range selection affects cache hit rates, the difference between owner and viewer credential caches, and how to pre-warm dashboards.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/looker-studio-credentials-and-security/https://adriennevermorel.com/notes/looker-studio-credentials-and-security/The security risks of owner's credentials in public Looker Studio reports, the LeakyLooker vulnerability, cost attribution, and using service accounts for production dashboards.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/looker-studio-data-blending-pitfalls/https://adriennevermorel.com/notes/looker-studio-data-blending-pitfalls/Why Looker Studio data blending silently creates cartesian products, how to identify it, and why pre-joining in BigQuery is almost always the right fix.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/looker-studio-limits-and-upgrade-path/https://adriennevermorel.com/notes/looker-studio-limits-and-upgrade-path/The hard technical limits of Looker Studio that optimization can't fix, what Looker Studio Pro actually adds, and when to evaluate enterprise Looker or alternative BI tools.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/looker-studio-extract-vs-live-connection/https://adriennevermorel.com/notes/looker-studio-extract-vs-live-connection/When to use Looker Studio's extract mode versus live BigQuery connections, the 100 MB limit that catches teams off guard, and how to combine both in the same report.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/managed-elt-tool-architectures/https://adriennevermorel.com/notes/managed-elt-tool-architectures/How the three dominant data ingestion tools approach the same problem differently — fully managed connectors, self-hosted open source, and Python-native libraries.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/markdown-to-notion-blocks-parser/https://adriennevermorel.com/notes/markdown-to-notion-blocks-parser/How to convert markdown to Notion's block API format in JavaScript, including handling rich_text objects, the 2000-character limit, and the 100-block request cap.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-apps-for-data-engineers-hub/https://adriennevermorel.com/notes/mcp-apps-for-data-engineers-hub/A reading path through MCP Apps — the January 2026 extension to MCP that renders interactive HTML visualizations directly inside AI client conversations.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-apps-protocol-internals/https://adriennevermorel.com/notes/mcp-apps-protocol-internals/How MCP Apps extend the Model Context Protocol to render interactive HTML interfaces inside AI clients — the ui:// resource mechanism, iframe sandboxing, and bidirectional JSON-RPC communication.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-apps-vs-traditional-bi/https://adriennevermorel.com/notes/mcp-apps-vs-traditional-bi/When to use MCP Apps for data visualization versus a dedicated BI tool — the honest comparison, what each does well, and the hybrid architecture that makes sense for most teams.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-client-landscape/https://adriennevermorel.com/notes/mcp-client-landscape/The major MCP clients — desktop apps, code editors, and CLI tools — and how to choose between them based on your workflow.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-client-primitives/https://adriennevermorel.com/notes/mcp-client-primitives/The three capabilities MCP clients expose to servers — sampling (server-requested LLM completions), elicitation (server-requested user input), and roots (filesystem boundaries) — and when they matter for data engineering.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-context-window-overhead/https://adriennevermorel.com/notes/mcp-context-window-overhead/The concrete token cost of MCP tool definitions in an LLM's context window — measurements from Anthropic and practitioners, and why it matters for long sessions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-data-engineering-servers/https://adriennevermorel.com/notes/mcp-data-engineering-servers/The MCP servers that actually matter for data engineering work — Snowflake, BigQuery, ClickHouse, centralmind/gateway, MindsDB, and Confluent.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-data-catalog-server-pattern/https://adriennevermorel.com/notes/mcp-data-catalog-server-pattern/A practical MCP server pattern for exposing internal data catalogs — table search, metadata retrieval, and lineage tracing as AI-accessible tools.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-data-quality-server-pattern/https://adriennevermorel.com/notes/mcp-data-quality-server-pattern/A practical MCP server pattern for data quality — running validation checks, retrieving quality scores, and surfacing tables that need attention.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-discovery-resources/https://adriennevermorel.com/notes/mcp-discovery-resources/Where to find MCP servers — the official registry, community directories, and how to evaluate what you find before installing.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-ecosystem-governance/https://adriennevermorel.com/notes/mcp-ecosystem-governance/How MCP became a vendor-neutral open standard — the Linux Foundation donation, corporate adoption, and what broad industry support means in practice.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-ecosystem-overview-hub/https://adriennevermorel.com/notes/mcp-ecosystem-overview-hub/A reading map for the MCP ecosystem — from protocol fundamentals through official servers, clients, data engineering integrations, and building custom servers.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-jsonrpc-wire-format/https://adriennevermorel.com/notes/mcp-jsonrpc-wire-format/The actual message format MCP uses under the hood — initialization handshake, capability negotiation, tool discovery, and tool invocation — with examples for debugging.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-official-reference-servers/https://adriennevermorel.com/notes/mcp-official-reference-servers/The servers maintained by the MCP Steering Group — which are actively developed, which have been handed to vendors, and why the distinction matters.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-pipeline-monitoring-server-pattern/https://adriennevermorel.com/notes/mcp-pipeline-monitoring-server-pattern/A practical MCP server pattern for pipeline monitoring — checking job status, listing failures, and triggering reruns across orchestrators like Airflow and Dagster.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-protocol-fundamentals-hub/https://adriennevermorel.com/notes/mcp-protocol-fundamentals-hub/Reading map for the foundational MCP concepts — how the protocol works, what messages look like, what primitives exist, and how they fit together for data engineering.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-resources-and-prompts/https://adriennevermorel.com/notes/mcp-resources-and-prompts/Beyond tools — using MCP resources for read-only data exposure, prompts for reusable templates, and the Context object for progress reporting in long-running operations.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-sdk-selection-for-data-engineering/https://adriennevermorel.com/notes/mcp-sdk-selection-for-data-engineering/Choosing between the Python and TypeScript MCP SDKs — installation, capabilities, and which one fits your data engineering team.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-server-project-setup/https://adriennevermorel.com/notes/mcp-server-project-setup/Step-by-step project initialization for a custom MCP server — directory structure, dependencies, client installation, and the typical project layout.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-server-testing-and-debugging/https://adriennevermorel.com/notes/mcp-server-testing-and-debugging/Testing MCP servers with the Inspector, the stderr logging gotcha that bites everyone, and a practical three-stage testing workflow.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-setup-troubleshooting/https://adriennevermorel.com/notes/mcp-setup-troubleshooting/Common failure modes when setting up MCP servers — macOS PATH problems, silent JSON config failures, tool count limits, and where to find debug logs.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-tool-design-patterns/https://adriennevermorel.com/notes/mcp-tool-design-patterns/How to design MCP tools that work well with AI — docstrings as descriptions, Pydantic models for structured output, and input validation with schemas.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-transport-configuration/https://adriennevermorel.com/notes/mcp-transport-configuration/Practical configuration for MCP's two transport modes — stdio for local development and streamable HTTP for production deployment.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/measuring-incremental-model-data-latency/https://adriennevermorel.com/notes/measuring-incremental-model-data-latency/How to profile the gap between event time and load time in your source tables, and use that distribution to size lookback windows and choose the right incremental strategy.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/meta-ads-actions-array-bigquery/https://adriennevermorel.com/notes/meta-ads-actions-array-bigquery/How to flatten Meta's nested actions JSON array in BigQuery — unnesting patterns, configurable action type pivots, dbt integration, and the action_values companion field.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/meta-ads-attribution-windows/https://adriennevermorel.com/notes/meta-ads-attribution-windows/How Meta's attribution windows work, the June 2025 on-Meta/off-Meta split, which windows survived the January 2026 deprecation, and what this means for warehouse data.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/meta-ads-bigquery-pipeline-hub/https://adriennevermorel.com/notes/meta-ads-bigquery-pipeline-hub/Map of content for building and maintaining a Meta Ads to BigQuery pipeline — API structure, actions array flattening, attribution windows, iOS signal loss, and operational maintenance.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/meta-ads-insights-api-structure/https://adriennevermorel.com/notes/meta-ads-insights-api-structure/How the Meta Marketing API is organized — the five-level object hierarchy, Insights API as a reporting edge, versioning cadence, authentication models, and rate limit system.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/meta-ads-pipeline-maintenance/https://adriennevermorel.com/notes/meta-ads-pipeline-maintenance/Operational practices for keeping a Meta Ads pipeline running — token expiry monitoring, spend reconciliation, API version lifecycle management, and circuit breaker patterns.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/meta-capi-server-side-setup/https://adriennevermorel.com/notes/meta-capi-server-side-setup/How to configure Meta Conversions API via server-side GTM — event deduplication with shared event_id, user data mapping for EMQ score, and forwarding the _fbp and _fbc cookies.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metric-anti-patterns-in-dbt/https://adriennevermorel.com/notes/metric-anti-patterns-in-dbt/Common mistakes when defining MetricFlow metrics — one-off models for metrics, sum-of-ratios errors, hardcoded measure filters, and missing descriptionsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metric-organization-in-dbt-projects/https://adriennevermorel.com/notes/metric-organization-in-dbt-projects/How to organize semantic models and metrics in dbt — co-located vs parallel subfolder structures, the one-primary-entity rule, and scaling patterns for large projectsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metric-naming-conventions-in-dbt/https://adriennevermorel.com/notes/metric-naming-conventions-in-dbt/How to name MetricFlow metrics so they stay discoverable and consistent as your project scales — patterns by metric type, grouping families, and the name vs label distinctionFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metricflow-advanced-patterns/https://adriennevermorel.com/notes/metricflow-advanced-patterns/Complex metric patterns in MetricFlow — period-over-period comparisons with offset_window, filtered metrics with Jinja, and handling null gaps in time seriesFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metricflow-cli-querying/https://adriennevermorel.com/notes/metricflow-cli-querying/How to query MetricFlow metrics from the CLI in dbt Core (mf) and dbt Cloud (dbt sl): group-by, filters with Jinja dimension syntax, multi-metric queries, and the semantic manifest.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metricflow-installation-and-setup/https://adriennevermorel.com/notes/metricflow-installation-and-setup/Installing MetricFlow for dbt Core with adapter-specific packages, the dbt Cloud alternative, and the initial project configuration steps needed before defining semantic models.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metricflow-metric-types/https://adriennevermorel.com/notes/metricflow-metric-types/The five metric types in dbt MetricFlow — simple, cumulative, derived, ratio, and conversion — with syntax, use cases, and gotchas for eachFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metricflow-semantic-model-components/https://adriennevermorel.com/notes/metricflow-semantic-model-components/The three building blocks of a MetricFlow semantic model: entities (join keys), dimensions (group-by columns), and measures (numeric aggregations that feed metrics).Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metricflow-setup-hub/https://adriennevermorel.com/notes/metricflow-setup-hub/Hub note connecting garden notes extracted from the MetricFlow getting started tutorial: installation, semantic model components, time spine, metric types, CLI querying, and organization.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metricflow-time-spine/https://adriennevermorel.com/notes/metricflow-time-spine/The MetricFlow time spine is a continuous date table used for cumulative metrics and time series gap filling. How to create it, configure it, and understand when it's required.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/microbatch-backfill-and-full-refresh-protection/https://adriennevermorel.com/notes/microbatch-backfill-and-full-refresh-protection/How to use dbt's built-in microbatch backfill commands, retry failed batches, and protect large incremental tables from accidental full refreshes.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/microbatch-automatic-upstream-filtering/https://adriennevermorel.com/notes/microbatch-automatic-upstream-filtering/How dbt's microbatch strategy automatically filters upstream models by event_time, reducing full table scans — and when to opt out with .render().Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/migrating-incremental-models-to-microbatch/https://adriennevermorel.com/notes/migrating-incremental-models-to-microbatch/How to convert traditional dbt incremental models to the microbatch strategy — step-by-step migration, side-by-side code examples, and first-run considerations.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ml-anomaly-detection-vs-statistical-methods/https://adriennevermorel.com/notes/ml-anomaly-detection-vs-statistical-methods/When ML-powered anomaly detection earns its cost over simpler Z-score approaches — and why the answer depends on data complexity, not marketing materials.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/modern-bi-landscape-hub/https://adriennevermorel.com/notes/modern-bi-landscape-hub/Hub note for understanding BI in 2026 — the semantic layer, metrics-as-code, headless BI, dbt centrality, and how to choose a toolFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/multi-client-agent-reporting-architecture/https://adriennevermorel.com/notes/multi-client-agent-reporting-architecture/How to structure per-client isolation for OpenClaw reporting workflows — separate cron jobs, credential management at scale, failure containment, and the security tradeoffs of running multiple clients on a single machine.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/multi-source-conflict-resolution/https://adriennevermorel.com/notes/multi-source-conflict-resolution/Three patterns for resolving conflicting data when merging records from multiple source systems — priority-based, recency-based, and source-specific fields.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/n8n-rss-to-notion-hub/https://adriennevermorel.com/notes/n8n-rss-to-notion-hub/How to build an automated RSS reader that fetches, cleans, and stores articles in Notion using n8n, Jina AI, and ChatGPT.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/on-schema-change-in-dbt-incremental-models/https://adriennevermorel.com/notes/on-schema-change-in-dbt-incremental-models/How dbt handles column additions and removals in incremental models, the four on_schema_change options, and why none of them backfill historical data.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/open-data-contract-standard/https://adriennevermorel.com/notes/open-data-contract-standard/ODCS v3.1.0 under the Linux Foundation's Bitol project — what it covers, how it compares to the Data Contract Specification, and where harmonization stands.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-architecture-and-design-principles/https://adriennevermorel.com/notes/openclaw-architecture-and-design-principles/How OpenClaw is built — the Gateway daemon, model-agnostic BYOK design, HEARTBEAT.md proactive loop, and plain-text-first philosophy that makes it feel natural to data people.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-cron-scheduler-mechanics/https://adriennevermorel.com/notes/openclaw-cron-scheduler-mechanics/How OpenClaw's built-in cron scheduler works — session modes, job persistence, exponential backoff, and the configuration patterns that make scheduled monitoring reliable.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-dbt-data-quality-assistant-hub/https://adriennevermorel.com/notes/openclaw-dbt-data-quality-assistant-hub/A reading path through the building blocks of a 24/7 automated dbt data quality assistant — test execution and parsing, severity assessment, documentation cross-referencing, morning summaries, and an honest maturity assessment.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-ecosystem-and-community/https://adriennevermorel.com/notes/openclaw-ecosystem-and-community/The community and ecosystem around OpenClaw — ClawHub, ClawData, the viral growth story, the naming history, and what the ecosystem state means for adoption decisions.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-for-data-people-hub/https://adriennevermorel.com/notes/openclaw-for-data-people-hub/A reading map for the OpenClaw introductory guide — architecture and design principles, tool comparison, security risks, persistent memory, and the ecosystem around OpenClaw.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-freelance-consultants-hub/https://adriennevermorel.com/notes/openclaw-freelance-consultants-hub/A reading path through the OpenClaw admin automation use cases for solo consultants — morning briefings, expense capture, personal CRM, and meeting prep.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-ga4-skill-integration/https://adriennevermorel.com/notes/openclaw-ga4-skill-integration/How to use community GA4 skills from ClawHub to pull analytics metrics into OpenClaw — the two main options, what each extracts, and how to feed the output into scheduled reporting.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-morning-briefing-pattern/https://adriennevermorel.com/notes/openclaw-morning-briefing-pattern/How to configure an OpenClaw cron job to deliver a daily personal briefing — covering calendar, email priority, pipeline status, and time tracking — to Telegram before your first coffee.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-persistent-memory-for-dbt-context/https://adriennevermorel.com/notes/openclaw-persistent-memory-for-dbt-context/How to load dbt project documentation, schema descriptions, and failure history into OpenClaw's persistent memory so that monitoring reports include business context rather than just technical output.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-pipeline-monitoring-hub/https://adriennevermorel.com/notes/openclaw-pipeline-monitoring-hub/A reading path through the OpenClaw pipeline monitoring tutorial — cron scheduler mechanics, writing monitoring skills, tiered alerting delivery, BigQuery failure checks, and Snowflake cost monitoring.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-persistent-memory-model/https://adriennevermorel.com/notes/openclaw-persistent-memory-model/How OpenClaw's Markdown-based persistent memory differs from session-based tools, what it enables for long-running data monitoring, and how memory files work in practice.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-reporting-assistant-hub/https://adriennevermorel.com/notes/openclaw-reporting-assistant-hub/A reading map for the OpenClaw client KPI reporting guide — GA4 skill integration, dashboard scraping tradeoffs, direct warehouse queries, multi-client architecture, and Slack summary formatting.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-security-risks-documented/https://adriennevermorel.com/notes/openclaw-security-risks-documented/A factual catalogue of the specific, documented security incidents, CVEs, regulatory warnings, and threat patterns that analytics engineers need to know before running OpenClaw near client data.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-security-risks-hub/https://adriennevermorel.com/notes/openclaw-security-risks-hub/A reading map for the OpenClaw security risks guide — documented incidents, CVEs, regulatory warnings, supply chain attacks, context window safety failures, and what data teams specifically need to know.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-skills-for-monitoring/https://adriennevermorel.com/notes/openclaw-skills-for-monitoring/How to write OpenClaw skill files for data pipeline monitoring — structuring SKILL.md instructions, categorizing failure types, formatting output for Slack, and adding context that makes alerts actionable.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-vs-claude-code-vs-cursor/https://adriennevermorel.com/notes/openclaw-vs-claude-code-vs-cursor/A clear-eyed comparison of three AI tools data people actually use — what each is for, where each falls short, and why the best practitioners run all three as a layered stack.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/orchestrator-architectural-philosophies/https://adriennevermorel.com/notes/orchestrator-architectural-philosophies/The three competing mental models in data orchestration — process-oriented (Airflow), data-oriented (Dagster), and function-oriented (Prefect) — and why the abstraction matters more than the feature list.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/orchestrator-comparison-for-dbt-teams-hub/https://adriennevermorel.com/notes/orchestrator-comparison-for-dbt-teams-hub/Hub note for the Dagster vs Airflow vs Prefect comparison — architectural philosophies, dbt integration depth, developer experience, pricing, learning curves, and the decision framework.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/orchestrator-developer-experience-comparison/https://adriennevermorel.com/notes/orchestrator-developer-experience-comparison/Local development, testing patterns, and CI/CD workflows across Dagster, Airflow, and Prefect — where the day-to-day friction lives.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/orchestrator-learning-curves/https://adriennevermorel.com/notes/orchestrator-learning-curves/An honest assessment of ramp-up time and friction points for Dagster, Airflow, and Prefect — what trips up analytics engineers and what helps.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/orchestrator-pricing-for-dbt-teams/https://adriennevermorel.com/notes/orchestrator-pricing-for-dbt-teams/Managed orchestration costs compared — Dagster+, Prefect Cloud, Astronomer, Cloud Composer, and dbt Cloud — with entry-tier pricing, scaling models, and the hidden costs that shift the math.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/per-workload-service-account-naming/https://adriennevermorel.com/notes/per-workload-service-account-naming/One service account per workload with a compute-platform prefix — so logs, cost attribution, and incident response all point to the right place immediately.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/pipeline-alerting-delivery-patterns/https://adriennevermorel.com/notes/pipeline-alerting-delivery-patterns/How to structure pipeline monitoring alerts — tiered severity routing, Slack vs. Telegram tradeoffs, delivery modes (channel, DM, webhook, silent), and designing alert systems that don't become noise.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/privacy-constraints-for-linked-analytics-data/https://adriennevermorel.com/notes/privacy-constraints-for-linked-analytics-data/GDPR and CNIL implications when linking GA4 cookie identifiers to CRM contact records — consent exemption loss, right to deletion cascades, and the architectural requirements for compliant Customer 360 models.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/proactive-vs-reactive-ai-agents/https://adriennevermorel.com/notes/proactive-vs-reactive-ai-agents/The distinction between AI tools that respond to prompts and AI agents that act on schedules — why this shift matters for automation use cases, and where each model fits.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/probabilistic-matching-limitations-ga4/https://adriennevermorel.com/notes/probabilistic-matching-limitations-ga4/Why probabilistic identity matching fails with GA4's BigQuery export — the signals GA4 intentionally excludes, what coarse data remains, and the compounding cost of false positives.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/prompt-injection-lethal-trifecta/https://adriennevermorel.com/notes/prompt-injection-lethal-trifecta/Simon Willison's lethal trifecta — why combining private data access, untrusted content exposure, and external communication ability creates a uniquely dangerous attack surface for AI agents handling data work.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/prompting-claude-code-for-dbt/https://adriennevermorel.com/notes/prompting-claude-code-for-dbt/What separates dbt prompts that work from ones that produce generic output — specificity, codebase references, constraint encoding, and the session-less memory problem.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/reverse-etl-patterns-for-crm-activation/https://adriennevermorel.com/notes/reverse-etl-patterns-for-crm-activation/How to push warehouse-computed scores and attributes back into Salesforce or HubSpot using reverse ETL tools — sync architecture, field mapping, sync frequency, and downstream automation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/rss-feed-deduplication-n8n/https://adriennevermorel.com/notes/rss-feed-deduplication-n8n/How to prevent duplicate Notion pages when polling RSS feeds in n8n, using a Merge node configured as a left anti-join.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/rule-based-lead-scoring-in-dbt/https://adriennevermorel.com/notes/rule-based-lead-scoring-in-dbt/How to build a configurable weighted lead scoring model in dbt using vars, seed files, and Jinja macros — so marketing can adjust weights without touching SQL.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/scd-type-2-with-dbt-snapshots/https://adriennevermorel.com/notes/scd-type-2-with-dbt-snapshots/How dbt snapshots implement slowly changing dimension Type 2 — tracking every version of a record over time with timestamp and check strategies, plus Fivetran History Mode as an alternative.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/salesforce-vs-hubspot-data-models/https://adriennevermorel.com/notes/salesforce-vs-hubspot-data-models/How Salesforce and HubSpot structure CRM data differently — metadata-driven relational models vs many-to-many associations — and what that means for warehouse modeling.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/secured-table-materialization-in-dbt/https://adriennevermorel.com/notes/secured-table-materialization-in-dbt/A custom dbt materialization that automatically reapplies BigQuery row access policies, column descriptions, and data masking tags after every table rebuild.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/server-side-cookies-safari-itp-bypass/https://adriennevermorel.com/notes/server-side-cookies-safari-itp-bypass/How setting cookies via HTTP Set-Cookie header from a same-domain server bypasses Safari's 7-day JavaScript cookie cap — the FPID mechanism, the IP mismatch problem, and the three approaches that solve it.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/semantic-validation-in-dbt/https://adriennevermorel.com/notes/semantic-validation-in-dbt/How to encode business rules as dbt tests — regex pattern validation, cross-column logic, natural language AI validation, and when each approach fits.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/service-account-key-vs-impersonation-tradeoffs/https://adriennevermorel.com/notes/service-account-key-vs-impersonation-tradeoffs/The practical tradeoff between GCP service account key files and short-lived impersonation tokens — when each is appropriate and what the honest security calculus looks like for consultants.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/slack-kpi-summary-format/https://adriennevermorel.com/notes/slack-kpi-summary-format/A practical template for agent-generated Slack KPI summaries — directional arrows, week-over-week structure, percentage points vs. percentages, and how to handle the LLM math reliability problem in the output layer.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/snowflake-cost-monitoring-with-warehouse-history/https://adriennevermorel.com/notes/snowflake-cost-monitoring-with-warehouse-history/SQL patterns for Snowflake cost monitoring using QUERY_HISTORY and WAREHOUSE_METERING_HISTORY — daily cost summaries, per-warehouse breakdowns, and translating credits into dollars for non-technical stakeholders.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/sql-dialect-divergences-across-warehouses/https://adriennevermorel.com/notes/sql-dialect-divergences-across-warehouses/Where SQL syntax breaks across BigQuery, Snowflake, and Databricks — date functions, type casting, and argument ordering differences that matter for portable dbt code.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/star-schema-vs-one-big-table/https://adriennevermorel.com/notes/star-schema-vs-one-big-table/When to use entity-separated star schema vs wide denormalized tables in your data warehouse — BigQuery performance characteristics, OBT benchmarks, and the practical answer of building both.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/stale-documentation-worse-than-missing/https://adriennevermorel.com/notes/stale-documentation-worse-than-missing/Why outdated documentation that looks complete causes more damage than obvious gaps — the false confidence problem in data teamsFri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/templating-language-and-team-skills/https://adriennevermorel.com/notes/templating-language-and-team-skills/How a team's existing skill mix — SQL practitioner, Python engineer, JavaScript developer — should shape the choice between Jinja and JavaScript templating in analytics engineering.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/testing-late-arriving-data-in-dbt/https://adriennevermorel.com/notes/testing-late-arriving-data-in-dbt/How to write dbt unit tests that simulate late arrivals, and how to use audit_helper to detect drift between incremental and full-refresh results in production.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unified-ad-model-downstream-patterns/https://adriennevermorel.com/notes/unified-ad-model-downstream-patterns/What becomes practical once you have a unified cross-platform ad model — blended ROAS, budget pacing, and Marketing Mix Modeling data preparation.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/unit-tests-vs-data-tests-in-dbt/https://adriennevermorel.com/notes/unit-tests-vs-data-tests-in-dbt/The two-checkpoint model for dbt testing — unit tests gate deployments by verifying transformation logic, data tests gate production by verifying data health.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/visualization-mcp-server-ecosystem/https://adriennevermorel.com/notes/visualization-mcp-server-ecosystem/The available MCP servers for generating charts and interactive visualizations — AntV, Vega-Lite, DuckDB-Plotly, and how to pick between them.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/when-to-write-custom-dbt-materializations/https://adriennevermorel.com/notes/when-to-write-custom-dbt-materializations/Decision framework for when custom dbt materializations are worth the maintenance burden versus post-hooks, macros, or built-in incremental strategies.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/workload-identity-federation-cicd/https://adriennevermorel.com/notes/workload-identity-federation-cicd/Replace service account keys in GitHub Actions and other CI systems with keyless OIDC authentication — no credentials to store, rotate, or leak.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/zero-downtime-table-materialization-in-dbt/https://adriennevermorel.com/notes/zero-downtime-table-materialization-in-dbt/A custom dbt materialization that builds to a temp name, validates row counts, then swaps via rename — keeping the old table queryable until the new one is confirmed ready.Fri, 27 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ad-pipeline-engineering-challenges/https://adriennevermorel.com/notes/ad-pipeline-engineering-challenges/The operational challenges of maintaining advertising data pipelines — API rate limits, schema changes, attribution window normalization, currency handling, and privacy complianceThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ad-data-extraction-tools/https://adriennevermorel.com/notes/ad-data-extraction-tools/Managed ELT, open-source, and native integration options for getting advertising data into your warehouse — Fivetran, Airbyte, dlt, Meltano, and BigQuery Data Transfer ServiceThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ad-platform-attribution-bias/https://adriennevermorel.com/notes/ad-platform-attribution-bias/Why every ad platform overcounts conversions, how walled-garden incentives create measurement gaps, and what only becomes visible when ad data lives in the warehouseThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ad-platform-api-landscape/https://adriennevermorel.com/notes/ad-platform-api-landscape/API characteristics, authentication models, and engineering gotchas for Google Ads, Meta, LinkedIn, Microsoft, TikTok, Pinterest, and Twitter ad platformsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/advanced-claude-code-workflows-for-dbt/https://adriennevermorel.com/notes/advanced-claude-code-workflows-for-dbt/A reading path through Claude Code configuration, testing, documentation, and debugging workflows for analytics engineers working with dbt on BigQueryThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-developer-skill-atrophy/https://adriennevermorel.com/notes/ai-developer-skill-atrophy/How AI coding tools affect developer comprehension — Anthropic's RCT, the delegation vs. inquiry distinction, and why how you use AI matters as much as which tools you pickThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-generated-sql-failure-modes/https://adriennevermorel.com/notes/ai-generated-sql-failure-modes/Why AI-generated SQL is dangerous — it runs without errors but returns wrong results. Research on temporal filter inconsistencies, join failures, and the confidence problem.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-limitations-in-data-engineering/https://adriennevermorel.com/notes/ai-limitations-in-data-engineering/A reading path through the five core limitations of AI in data engineering — SQL failure modes, the context gap, architectural judgment, the production gap, and context engineering as the response.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-powered-dbt-documentation-hub/https://adriennevermorel.com/notes/ai-powered-dbt-documentation-hub/A reading path through automating dbt documentation — from scaffolding tools to AI generation, business context enrichment, and CI enforcementThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-production-gap-in-data-engineering/https://adriennevermorel.com/notes/ai-production-gap-in-data-engineering/Why AI gets you to 80% fast but the remaining 20% — security, compliance, temporal consistency, governance — is where most of the real work lives.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-sql-review-tools/https://adriennevermorel.com/notes/ai-sql-review-tools/A reference of tools that apply AI to SQL and dbt code review — Altimate AI, Greptile, CodeRabbit, and MotherDuck FixIt — with benchmarks and differentiatorsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-sql-review-tradeoffs/https://adriennevermorel.com/notes/ai-sql-review-tradeoffs/The practical costs of AI SQL review — false positive rates, conflicting tool feedback, CI latency, annual spend, and the configuration investment that makes it worthwhileThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-tool-tiers-for-data-engineering/https://adriennevermorel.com/notes/ai-tool-tiers-for-data-engineering/The four capability tiers of AI tools for data engineering — autonomous agents, copilots, chat assistants, and platform-embedded AI — and why context determines which tier delivers valueThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-tooling-cost-for-solo-consultants/https://adriennevermorel.com/notes/ai-tooling-cost-for-solo-consultants/What a four-layer AI stack actually costs per month for an independent analytics engineering consultant — tool-by-tool breakdown, ROI assessment, and cost visibility gapsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ai-tools-for-dbt-documentation/https://adriennevermorel.com/notes/ai-tools-for-dbt-documentation/A comparison of dbt Copilot, Claude Code with MCP, and Altimate AI for generating dbt model and column documentation — capabilities, limitations, and selection guidanceThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bi-tool-selection-framework/https://adriennevermorel.com/notes/bi-tool-selection-framework/A decision framework for choosing a BI tool in 2026 — four key questions, a comparison of Lightdash vs Looker vs Metabase, and the market landscape from dbt-native to enterprise toolsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/biglake-performance-characteristics/https://adriennevermorel.com/notes/biglake-performance-characteristics/How BigLake external and Iceberg tables perform relative to native BigQuery tables, the role of metadata caching, and where the remaining gaps matter.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-architecture-for-analytics-engineers/https://adriennevermorel.com/notes/bigquery-architecture-for-analytics-engineers/How BigQuery works under the hood — columnar storage, slots, the separation of compute and storage — and why it matters for your queries and costs.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/biglake-metastore-and-catalog-strategy/https://adriennevermorel.com/notes/biglake-metastore-and-catalog-strategy/Why catalog infrastructure matters more than format choice on GCP, and how BigLake Metastore and Dataplex Universal Catalog provide unified governance across engines and formats.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-cross-organization-data-sharing/https://adriennevermorel.com/notes/bigquery-cross-organization-data-sharing/Patterns for sharing BigQuery data across organizations — agency/client models, Analytics Hub, authorized views, and row/column-level security.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-cost-model/https://adriennevermorel.com/notes/bigquery-cost-model/How BigQuery pricing works across on-demand and editions models — bytes billed, slot hours, storage costs, and optimization leversThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-hyperloglog-sketches/https://adriennevermorel.com/notes/bigquery-hyperloglog-sketches/How HyperLogLog++ sketches in BigQuery enable composable, approximate distinct counts at a fraction of the cost of exact counting.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-iam-patterns/https://adriennevermorel.com/notes/bigquery-iam-patterns/Least-privilege IAM for BigQuery — predefined roles, the data vs. compute permission split, service account strategy, and common anti-patterns.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-materialized-views/https://adriennevermorel.com/notes/bigquery-materialized-views/How BigQuery materialized views precompute aggregations, refresh incrementally, and transparently rewrite queries for automatic optimization.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-multi-environment-patterns/https://adriennevermorel.com/notes/bigquery-multi-environment-patterns/Three patterns for separating dev, staging, and production in BigQuery — separate projects, dataset prefixes, and central data lake with department marts.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-partition-pruning-patterns/https://adriennevermorel.com/notes/bigquery-partition-pruning-patterns/How to combine partitioning and clustering in BigQuery for maximum scan reduction, including anti-patterns that silently defeat pruning.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-regional-architecture/https://adriennevermorel.com/notes/bigquery-regional-architecture/How BigQuery's region model works — multi-region vs. single region, the cross-region join constraint, and how to choose a region you'll live with permanently.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-resource-hierarchy/https://adriennevermorel.com/notes/bigquery-resource-hierarchy/How BigQuery organizes resources from organization to table level — projects as billing boundaries, datasets as access control units, and naming conventions that scale.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-sql-patterns-for-analytics-engineers/https://adriennevermorel.com/notes/bigquery-sql-patterns-for-analytics-engineers/A reading guide to essential BigQuery SQL patterns covering query optimization, nested data, window functions, dbt incrementals, and marketing analytics.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/bigquery-table-types/https://adriennevermorel.com/notes/bigquery-table-types/Native BigQuery tables, BigLake external tables, and BigLake Iceberg tables — what each optimizes for, when to use them, and a decision framework for choosing.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cascading-agent-pattern/https://adriennevermorel.com/notes/cascading-agent-pattern/The architecture where an always-on monitoring agent detects issues and triggers a coding agent to investigate and fix them — how OpenClaw and Claude Code hand off workThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-claude-md-configuration/https://adriennevermorel.com/notes/claude-code-claude-md-configuration/How CLAUDE.md gives Claude Code persistent project context — what to include, what to leave out, and why reactive additions beat proactive documentationThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-hooks/https://adriennevermorel.com/notes/claude-code-hooks/How hooks give Claude Code deterministic guardrails — shell commands that execute at specific lifecycle points to enforce rules, auto-format code, and block dangerous operationsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/claude-code-slash-commands-for-dbt/https://adriennevermorel.com/notes/claude-code-slash-commands-for-dbt/How to create custom slash commands in Claude Code that automate repeatable dbt workflows — test generation, model documentation, and prompt validationThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cloud-storage-tiering-for-bigquery/https://adriennevermorel.com/notes/cloud-storage-tiering-for-bigquery/How to use Cloud Storage tiers and lifecycle policies alongside BigQuery for cost-effective data lake storage, including Autoclass and physical billing.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/context-engineering-for-data-pipelines/https://adriennevermorel.com/notes/context-engineering-for-data-pipelines/How the value in data engineering is shifting from writing code to structuring context — the emerging discipline of context engineering, the ETL-to-ECL reframe, and the skills pipeline risk.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/context-gap-in-ai-data-engineering/https://adriennevermorel.com/notes/context-gap-in-ai-data-engineering/Why business context — what 'Status' means, whether 'Amount' is net or gross, tacit SAP knowledge — is the core limitation of AI in data engineering.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/cursor-for-dbt-development/https://adriennevermorel.com/notes/cursor-for-dbt-development/How Cursor works as the IDE layer for dbt projects — strengths with dbt Power User, limitations for multi-file work, and where it fits alongside Claude CodeThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/custom-sessionization-patterns/https://adriennevermorel.com/notes/custom-sessionization-patterns/How to build custom session definitions from raw events using LAG and running sums, with configurable timeouts, campaign-based splits, and session metrics.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/data-architecture-as-human-judgment/https://adriennevermorel.com/notes/data-architecture-as-human-judgment/Why data architecture — DAG design, ownership models, temporal logic, team boundaries — resists AI automation and remains a fundamentally human discipline.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-base-layer-patterns/https://adriennevermorel.com/notes/dbt-base-layer-patterns/What belongs in dbt base models — renaming, casting, deduplication, unnesting — and the one exception to the no-joins rule.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-bigquery-configuration/https://adriennevermorel.com/notes/dbt-bigquery-configuration/How to configure dbt for BigQuery — profiles.yml setup, authentication methods, generate_schema_name, job labels for cost attribution, and cost control settings.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-ci-enforcement/https://adriennevermorel.com/notes/dbt-documentation-ci-enforcement/Tools and patterns for enforcing dbt documentation completeness in CI — dbt-coverage, dbt-checkpoint, dbt-score, and dbt-bouncerThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-scaffolding-tools/https://adriennevermorel.com/notes/dbt-documentation-scaffolding-tools/How dbt-codegen and dbt-osmosis handle the mechanical parts of documentation — generating YAML skeletons and propagating descriptions through your DAGThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-documentation-with-claude-code/https://adriennevermorel.com/notes/dbt-documentation-with-claude-code/A systematic approach to dbt documentation using Claude Code — the codegen-plus-AI pattern, docs blocks for consistency, lineage diagrams, and slash commands for automationThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-intermediate-layer-patterns/https://adriennevermorel.com/notes/dbt-intermediate-layer-patterns/What belongs in dbt intermediate models — joins, business logic, window functions — and the critical rule of never reducing grain.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-mart-layer-patterns/https://adriennevermorel.com/notes/dbt-mart-layer-patterns/What belongs in dbt mart models — reporting aggregations, activation exports, ML feature tables — and the principle that every mart serves a specific consumer.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-project-structure-and-naming/https://adriennevermorel.com/notes/dbt-project-structure-and-naming/How to organize a dbt project — folder structure, model naming conventions, layer responsibilities, and dbt_project.yml configuration patternsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-testing-taxonomy/https://adriennevermorel.com/notes/dbt-testing-taxonomy/A taxonomy of dbt test types — generic tests, singular tests, unit tests, contract tests, and data quality packages like dbt_expectationsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/dbt-three-layer-architecture/https://adriennevermorel.com/notes/dbt-three-layer-architecture/How the base, intermediate, and mart layers organize a dbt project, what belongs in each, and how data flows between them.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/debugging-dbt-with-claude-code/https://adriennevermorel.com/notes/debugging-dbt-with-claude-code/How to use Claude Code for dbt debugging — letting the agent face errors directly, tracing data issues through upstream models, and using subagents for complex investigationsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/elementary-for-dbt/https://adriennevermorel.com/notes/elementary-for-dbt/How Elementary extends dbt with data observability — anomaly detection, automated freshness monitoring, test result history, and Slack alertingThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/ga4-event-data-structure/https://adriennevermorel.com/notes/ga4-event-data-structure/How GA4 structures event data in BigQuery — the event model, nested parameters, and the patterns you need to query it effectively.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/headless-bi-pattern/https://adriennevermorel.com/notes/headless-bi-pattern/The architectural pattern of decoupling the semantic layer from visualization — exposing metrics via APIs so any frontend, AI agent, or application can consume governed dataThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/incremental-models-in-dbt/https://adriennevermorel.com/notes/incremental-models-in-dbt/How dbt incremental models work, when to use them, the available strategies, and the trade-offs you need to understand.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/incremental-strategy-decision-framework/https://adriennevermorel.com/notes/incremental-strategy-decision-framework/A decision framework for choosing the right dbt incremental materialization strategy — merge, delete+insert, insert_overwrite, append, and microbatchThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/layered-ai-stack-for-analytics-engineering/https://adriennevermorel.com/notes/layered-ai-stack-for-analytics-engineering/The mental model of thinking about AI tools in layers — IDE, coding agent, orchestration, review — rather than choosing a single tool for everythingThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/layered-sql-review-pipeline-for-dbt/https://adriennevermorel.com/notes/layered-sql-review-pipeline-for-dbt/A four-layer architecture for SQL review in dbt projects — IDE feedback, pre-commit hooks, PR-level AI review, and CI testing — each catching a different class of errorThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/mcp-protocol-architecture/https://adriennevermorel.com/notes/mcp-protocol-architecture/What the Model Context Protocol is, how clients and servers communicate, and why it matters for connecting AI tools to your data infrastructure.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/medallion-lakehouse-on-gcp/https://adriennevermorel.com/notes/medallion-lakehouse-on-gcp/How the bronze-silver-gold medallion architecture maps to BigQuery table types, with BigLake Iceberg for flexibility and native tables for performance.Thu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/metrics-as-code/https://adriennevermorel.com/notes/metrics-as-code/The practice of defining business metrics in version-controlled YAML — reviewed in pull requests, tested in CI/CD, and consumed by BI tools and AI agentsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/openclaw-for-dbt-monitoring/https://adriennevermorel.com/notes/openclaw-for-dbt-monitoring/Using OpenClaw as an always-on monitoring layer for dbt projects — cron-based testing, Slack alerting, mobile access, and practical use cases for solo consultantsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/rag-for-dbt-documentation/https://adriennevermorel.com/notes/rag-for-dbt-documentation/How retrieval-augmented generation bridges the business context gap in AI-generated dbt documentation — from full RAG pipelines to the simpler CLAUDE.md workaroundThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/security-posture-for-ai-agents/https://adriennevermorel.com/notes/security-posture-for-ai-agents/How to scope permissions, isolate environments, and treat always-on AI agents like OpenClaw as untrusted actors — practical security practices for data teamsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/semantic-layer-architecture/https://adriennevermorel.com/notes/semantic-layer-architecture/How semantic layers work in the modern data stack — competing implementations (MetricFlow, Snowflake Semantic Views, Databricks Metric Views), the OSI initiative, and why the semantic layer determines AI accuracyThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/silent-sql-errors-in-ai-generated-code/https://adriennevermorel.com/notes/silent-sql-errors-in-ai-generated-code/Why AI-generated SQL that compiles and runs is more dangerous than SQL that fails — the 3% warning rate, temporal filter inconsistencies, and the review practices that catch what linters missThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/sql-attribution-patterns/https://adriennevermorel.com/notes/sql-attribution-patterns/SQL implementation patterns for marketing attribution — first-touch, last-touch, linear, position-based, time-decay, and algorithmic modelsThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/tdd-with-claude-code-for-dbt/https://adriennevermorel.com/notes/tdd-with-claude-code-for-dbt/How test-driven development works with Claude Code for dbt models — write tests first, let the agent iterate to pass them, then refactor with confidenceThu, 26 Mar 2026 00:00:00 GMThttps://adriennevermorel.com/notes/window-function-patterns-for-analytics-sql/https://adriennevermorel.com/notes/window-function-patterns-for-analytics-sql/Practical window function patterns for analytics SQL — ROW_NUMBER, LEAD/LAG, running totals, session detection, and deduplicationThu, 26 Mar 2026 00:00:00 GMT