Learn how to properly adjust your generate_schema_name() and generate_alias_name() macros.| docs.getdbt.com
How to configure dbt Cloud with common git strategies| docs.getdbt.com
Learn how to trigger a dbt job run when a Git pull request merges.| docs.getdbt.com
Develop, test, run, and build in the Cloud IDE. You can compile dbt code into SQL and run it against your database directly| docs.getdbt.com
Use this guide to build and define metrics, set up the dbt Cloud Semantic Layer, and query them using Google Sheets.| docs.getdbt.com
Learn how to create and schedule deploy jobs in dbt Cloud for the scheduler to run. When you run with dbt Cloud, you get built-in observability, logging, and alerting.| docs.getdbt.com
Learn about dbt Cloud's deployment environment to seamlessly schedule jobs or enable CI.| docs.getdbt.com
Learn how to create and set up CI checks to test code changes before deploying to production.| docs.getdbt.com
Learn about dbt's development environment to execute your project in the IDE| docs.getdbt.com
Seamlessly set up the dbt Semantic Layer in dbt Cloud using intuitive navigation.| docs.getdbt.com
Use environment variables to customize the behavior of your dbt project.| docs.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