Welcome to our docs!
At re_data we are helping data teams (and theirs users!) to keep data reliable. We believe open-source is quite often the right answer for data apps and that's why we wrote
re_data dbt native library for data reliability, in line with that we also run
re_cloud which helps collobarate on data issues found in a different open-source apps.
re_data is an open-source data reliability framework build for modern data stack.
re_data focuses on observing the dbt project and lets you:
- get alerts about bad data
- compute data quality metrics
- write your own data asserts
- and more 😊
To start with re_data go to introduction 🚀
Check out our live demo of what re_data can do for you! 😊
re_cloud allows you to very easily host and collaborate on data reports from different data tools. Some we are currently supporting are:
- dbt docs
- re_data 😊
- jupyter notebooks
- custom htmls reports
Why do I need it?
Data tools are great, but the way to share outputs produced by them with your team is harder than it could be. With re_cloud, using one line of code like:
re_cloud upload dbt-docs
You can make dbt docs available to your team.
We think of
re_cloud as a control center for you data. We wrote a simple
re_cloud library (available as a python library) to upload supported reports to the cloud.