You already use dbt to empower your data modelling workflow, now you need a way to understand how your code changes affect data
That's where "code review for data" comes in
Zero-config dbt integration and merge with confidence 💯
Get started today at
https://piperider.io
#dbt #DataQuality #DataReliability #OpenSource #DataOps #DataViz #DataProfile #DataTesting #PipeRider
#dbt #dataquality #datareliability #opensource #dataops #dataviz #dataprofile #datatesting #piperider
PipeRider 0.21.0 it out now with the following main updates:
- The compare command now uses 'three-dot' compare (to compare against with main at the point at which your branch was made)
- PipeRider Cloud supports multiple workspaces
Get the latest version:
https://github.com/InfuseAI/piperider
#dbt #DataQuality #DataReliability #DataProfile #DataViz #DataOps #DataEngineer #DataEngineering #AnalyticsEngineering #AnalyticsEngineer
#dbt #dataquality #datareliability #dataprofile #dataviz #dataops #dataengineer #dataengineering #analyticsengineering #AnalyticsEngineer
Do you have any sort of review process before pushing data model changes to production?
We're working on a solution for CI pipelines to add a data profile comparison report to the PR so you can easily review how your data model changes differ from staging and production
https://blog.infuseai.io/how-to-be-more-confident-making-data-model-changes-76a2f65feffa
#dbt #dataviz #data #datamodeling #dataops #dataprofile