How does my team review data pipeline changes?
Pipelines are files in the repo, so changes are reviewed as diffs in a pull request, with the same standards as application code. Bruin does this in one platform: ingestion, SQL and Python pipelines, quality checks, lineage, and an AI data analyst that answers in Slack, Microsoft Teams, and the browser.
Command
bruin runDefined in
YAML + CI
Works with
git + Bruin CLI
What you get
CI validationgated deploysgit rollback
How it works in code
# .github/workflows/data.yml
- run: bruin validate ./pipeline
- run: bruin run ./pipelineRun bruin run and your data pipelines follow the same review and deploy path as your app.
Related use cases
Deploy data pipelines like software
Open source. Validate on every pull request, deploy on merge, roll back with git.