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Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
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Ler descrição completa Recolher descrição dbt Transformation Patterns
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
Use this skill when
Building data transformation pipelines with dbt Organizing models into staging, intermediate, and marts layers Implementing data quality tests and documentation Creating incremental models for large datasets Setting up dbt project structure and conventions Do not use this skill when
The project is not using dbt or a warehouse-backed workflow You only need ad-hoc SQL queries There is no access to source data or schemas Instructions
Define model layers, naming, and ownership. Implement tests, documentation, and freshness checks. Choose materializations and incremental strategies. Optimize runs with selectors and CI workflows. If detailed patterns are required, open resources/implementation-playbook.md. Resources
resources/implementation-playbook.md for detailed dbt patterns and examples.
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