Short description:
dbt (Data Build Tool) is a transformation workflow tool for analytics engineers. It allows data teams to define models, tests, and documentation as code, bringing software engineering practices into the analytics domain.
Where it's used:
Used in analytics pipelines to transform raw data into curated datasets inside data warehouses using SQL and modularized logic.
Why it moved to Adopt:
After the trial phase, dbt has proven itself as the default transformation layer. Version-controlled SQL models, built-in tests and generated documentation made pipelines easier to review, test and maintain, and it covers the data-quality checks that Great Expectations was too heavy for.
Short description:
dbt (Data Build Tool) is a transformation workflow tool for analytics engineers. It allows data teams to define models, tests, and documentation as code, bringing software engineering practices into the analytics domain.
Where it's used:
Used in analytics pipelines to transform raw data into curated datasets inside data warehouses using SQL and modularized logic.