With dbt, data analysts and engineers can build analytics the way engineers build applications.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.
These select statements, or "models", form a dbt project. Models frequently build on top of one another – dbt makes it easy to manage relationships between models, and visualize these relationships, as well as assure the quality of your transformations through testing.
Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the dbt Code of Conduct.
FAQs
With dbt, data analysts and engineers can build analytics the way engineers build applications.
We found that dbt-core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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