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<img src="https://github.com/fishtown-analytics/dbt/blob/master/etc/dbt-horizontal.png?raw=true" alt="dbt logo"/>
</p>
<p align="center">
<a href="https://codeclimate.com/github/fishtown-analytics/dbt">
<img src="https://codeclimate.com/github/fishtown-analytics/dbt/badges/gpa.svg" alt="Code Climate"/>
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</a>
<a href="https://ci.appveyor.com/project/DrewBanin/dbt/branch/development">
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</a>
<a href="https://slack.getdbt.com">
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**[dbt](https://www.getdbt.com/)** (data build tool) 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 can be used to [aggregate pageviews into sessions](https://github.com/fishtown-analytics/snowplow), calculate [ad spend ROI](https://github.com/fishtown-analytics/facebook-ads), or report on [email campaign performance](https://github.com/fishtown-analytics/mailchimp).
## 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](https://docs.getdbt.com/docs/ref) between models, and [visualize these relationships](https://docs.getdbt.com/docs/documentation), as well as assure the quality of your transformations through [testing](https://docs.getdbt.com/docs/testing).
## Getting started
- [Install dbt](https://docs.getdbt.com/docs/installation)
- Read the [documentation](https://docs.getdbt.com/).
- Productionize your dbt project with [dbt Cloud](https://www.getdbt.com)
## Find out more
- Check out the [Introduction to dbt](https://dbt.readme.io/docs/introduction).
- Read the [dbt Viewpoint](https://dbt.readme.io/docs/viewpoint).
## Join thousands of analysts in the dbt community
- Join the [chat](http://slack.getdbt.com/) on Slack.
- Find community posts on [dbt Discourse](https://discourse.getdbt.com).
## Reporting bugs and contributing code
- Want to report a bug or request a feature? Let us know on [Slack](http://slack.getdbt.com/), or open [an issue](https://github.com/fishtown-analytics/dbt/issues/new).
- Want to help us build dbt? Check out the [Contributing Getting Started Guide](/CONTRIBUTING.md)
## Code of Conduct
Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the [PyPA Code of Conduct](https://www.pypa.io/en/latest/code-of-conduct/).
