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re_data - data quality framework. Build on top of dbt, re_data helps you find, debug and resolve problems in your data.

Home Page: https://re-data.github.io/re-data

License: MIT License

Python 67.26% Shell 32.74%

re-data's Introduction

Logo

Slack License Last commit

What is re_data?

re_data lets data teams compute various metrics about their datasets and later on:

  • test
  • visualize
  • find anomalies in those

re_data is meant to help data teams find, debug data problems and sleep well knowing that they will know if something unexpected happens.

re_data works strictly inside your data warehouse (it's implemented in large part as dbt package) - and is doing transformations on your tables in your data warehouse.

Getting started

Check our docs! ๐Ÿ““ ๐Ÿ““

Join re_data community on Slack (we are very responsive there)

Source code

As dbt packages currently need to be a seperate github repos, most of source code of re_data can be found here

Integrations

We support most of the main data warehouses supported by dbt. We plan to add support for Spark (now officially supported by dbt).

Integration Status
BigQuery Supported
PostgreSQL Supported
Redshift Supported
Snowflake Supported
Apache Spark Planned

License

re_data is licensed under the MIT license. See the LICENSE file for licensing information.

Contributing

We love all contributions ๐Ÿ˜ bigger and smaller.

Check out the current list of issues here and see if you like anything from there. Also, feel welcome to join our Slack and suggest ideas or set up a live session here.

And if you got this far and like what we are building, support us! Star https://github.com/re-data/re-data on Github ๐Ÿคฉ

re-data's People

Contributors

mateuszklimek avatar re-cezpiw avatar jwarlander avatar harduim avatar patkearns10 avatar sbboakye avatar arkady-emelyanov avatar casperhansen avatar dlbas avatar guicalare avatar hishoss avatar dnzzl avatar maciejklimek avatar maxenceroux avatar zuba0 avatar

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