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

  • pip install dbt (recommended) - installs the default distribution with the full feature set
  • 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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dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

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Understanding dbt

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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Getting started

Join the dbt Community

Reporting bugs and contributing code

Code of Conduct

Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the dbt Code of Conduct.

Metadata

Release files for dbt-core 1.12.7

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Source distribution for dbt-core 1.12.7
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Built distribution (wheel)

Table of built distributions (wheels) for dbt-core 1.12.7
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dbt_core-1.12.7-py3-none-any.whl Python 3 none any Details for dbt_core-1.12.7-py3-none-any.whl

Total release size: 2.2 MB

Release files / dbt_core-1.12.7.tar.gz

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