<p align="center">
<img
src="https://raw.githubusercontent.com/dbt-labs/dbt/ec7dee39f793aa4f7dd3dae37282cc87664813e4/etc/dbt-logo-full.svg"
alt="dbt logo"
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/>
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<p align="center">
<a href="https://pypi.org/project/dbt-redshift/">
<img src="https://badge.fury.io/py/dbt-redshift.svg" />
</a>
<a target="_blank" href="https://pypi.org/project/dbt-redshift/" style="background:none">
<img src="https://img.shields.io/pypi/pyversions/dbt-redshift">
</a>
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</a>
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</a>
<a href="https://pepy.tech/project/dbt-redshift">
<img src="https://static.pepy.tech/badge/dbt-redshift/month" />
</a>
</p>
# dbt
**[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis.
## dbt-redshift
`dbt-redshift` enables dbt to work with Amazon Redshift.
For more information on using dbt with Redshift, consult [the docs](https://docs.getdbt.com/docs/profile-redshift).
# Getting started
Review the repository [README.md](../README.md) as most of that information pertains to `dbt-redshift`.
## Contribute
- Want to help us build `dbt-redshift`? Check out the [Contributing Guide](CONTRIBUTING.md).
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