Validate that data freshness meets expectations and alert if stale.| docs.getdbt.com
You can set up continuous integration (CI) checks to test every single change prior to deploying the code to production just like in a software development workflow.| docs.getdbt.com
Learn about dbt's development environment to execute your project in the IDE| docs.getdbt.com
Configure dbt data tests to assess the quality of your input data and ensure accuracy in resulting datasets.| docs.getdbt.com
Learn how the dbt Semantic Layer enables data teams to centrally define and query metrics.| docs.getdbt.com
Installation| hub.getdbt.com
The dbt_project_evaluator is a dbt package created by the Professional Services team at dbt Labs to help analytics engineers automatically audit their dbt projects for bad practices. Goodbye auditing nightmares, hello beautiful DAG.| docs.getdbt.com