Metadata-Version: 2.1
Name: dbt
Version: 0.14.0
Summary: With dbt, data analysts and engineers can build analytics the way engineers build applications.
Home-page: https://github.com/fishtown-analytics/dbt
Author: Fishtown Analytics
Author-email: info@fishtownanalytics.com
License: UNKNOWN
Description: <p align="center">
          <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 href="https://circleci.com/gh/fishtown-analytics/dbt/tree/master">
            <img src="https://circleci.com/gh/fishtown-analytics/dbt/tree/master.svg?style=svg"  alt="CircleCI" />
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          <a href="https://ci.appveyor.com/project/DrewBanin/dbt/branch/development">
            <img src="https://ci.appveyor.com/api/projects/status/v01rwd3q91jnwp9m/branch/development?svg=true" alt="AppVeyor" />
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          <a href="https://slack.getdbt.com">
            <img src="https://slack.getdbt.com/badge.svg" alt="Slack" />
          </a>
        </p>
        
        **[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 architecture](https://github.com/fishtown-analytics/dbt/blob/master/etc/dbt-arch.png?raw=true)
        
        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).
        
        ![dbt dag](https://github.com/fishtown-analytics/dbt/blob/master/etc/dbt-dag.png?raw=true)
        
        ## 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/).
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
