dbt 0.10.1rc2

dbt (data build tool) is a command line tool that helps analysts and engineers transform data in their warehouse more effectively

# dbt

dbt (data build tool) helps analysts write reliable, modular code using a workflow that closely mirrors software development.

A dbt project primarily consists of “models”. These models are SQL select statements that filter, aggregate, and otherwise transform data to facilitate analytics. Analysts use dbt 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).

These models frequently build on top of one another. Fortunately, dbt makes it easy to [manage relationships](https://docs.getdbt.com/reference#ref) between models, [test](https://docs.getdbt.com/docs/testing) your assumptions, and [visualize](https://graph.sinterdata.com/) your projects.

Still reading? Check out the [docs](https://docs.getdbt.com/docs/overview) for more information.


— ### Getting Started

• [What is dbt]?

• Read the [dbt viewpoint]

• [Installation]

• Join the [chat][slack-url] on Slack for live questions and support.

— ### The dbt ecosystem - Visualize your dbt graph [here](https://graph.sinterdata.com/) - Run your dbt projects on a schedule [here](http://sinterdata.com/)

—

[](https://codeclimate.com/github/fishtown-analytics/dbt) [](https://slack.getdbt.com)

### Testing

service | development | master |

— | — | — |

CircleCI| [](https://circleci.com/gh/fishtown-analytics/dbt/tree/development) | [](https://circleci.com/gh/fishtown-analytics/dbt/tree/master) |

AppVeyor | [](https://ci.appveyor.com/project/DrewBanin/dbt/branch/development) | [](https://ci.appveyor.com/project/DrewBanin/dbt/branch/master) |

[Coverage](https://circleci.com/api/v1/project/fishtown-analytics/dbt/latest/artifacts/0/$CIRCLE_ARTIFACTS/htmlcov/index.html?branch=development)

## 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].

[PyPA Code of Conduct]: https://www.pypa.io/en/latest/code-of-conduct/ [slack-url]: https://slack.getdbt.com/ [Installation]: https://docs.getdbt.com/docs/installation [What is dbt]: https://docs.getdbt.com/docs/overview [dbt viewpoint]: https://docs.getdbt.com/docs/viewpoint