Note: v2 of the dbt engine is now available, and ships as two distributions:

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  • pip install dbt-oss - installs the subset distribution, with only Apache 2 open source code

With v2, you no longer need to install adapters separately, so you can remove pip install dbt-<adapter> from your installation.

Long term, the dbt-core PyPI namespace will be deprecated, so please update your install scripts to the appropriate v2 distribution moving forward. See the install docs to get started.

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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.

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