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The analytics engineering workflow
With dbt, data teams work directly within the warehouse to produce trusted datasets for reporting, ML modeling, and operational workflows.
- 1. Develop models Write your business logic as plain old SQL files.
- 2. Compile your project dbt infers the dependencies in your data models, and builds a DAG for you.
- 3. Build tables + views When you run dbt, your business logic builds as tables or views in your data warehouse.
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