dbt is an open-source library for analytics engineering that helps users build interdependent SQL models for in-warehouse data transformation. It has become a key component of the modern data engineering workflow thanks to data warehouses like Snowflake with ephemeral compute. Use dbt to write, organize, and run in-warehouse transformations of raw data.
Executing dbt models as Airflow DAGs is a common ELT implementation pattern. With Astro, running dbt models is reliable, scalable, and flexible. Astro gives you fine-grained control over dbt tasks such that your team has observability over every step in your dbt models.