Dbt Data Transformation

This covers the full dbt workflow from model development to production deployment, with practical examples of staging layers, marts, and the ref/source pattern. You'll find real SQL showing incremental strategies, Jinja macros, and testing configs. The guide walks through materialization tradeoffs (view vs table vs incremental) with actual performance considerations, plus project structure conventions that match how analytics engineering teams organize code in practice. It's comprehensive enough that you could onboard someone to dbt or level up from basic models to handling complex dimensional modeling, packages, and CI/CD. The incremental models section alone is worth it if you're dealing with large event datasets.