A metric looks wrong. How do I find where it went bad?
Walk the column lineage upstream from the metric to inspect each transformation, narrowing down exactly where the value diverged. 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, Google Chat, WhatsApp, Discord, Telegram, email and the browser.
Command
bruin lineageDefined in
SQL + YAML
Works with
Bruin CLI + your warehouse
What you get
Impact analysisemergent lineagecross-language
How it works in code
$ bruin lineage ./pipeline --downstream --column orders.amountRun bruin lineage and you see the full downstream blast radius before you change anything.
Related use cases
Impact analysis and debugging
See which columns feed a metric
How do I trace a metric back to its source columns?
Impact analysis and debuggingRun impact analysis before a schema change
What breaks if I drop or rename this column?
Impact analysis and debuggingFind unused columns in a model
Which columns in this table are never used downstream?
Know what breaks before you ship it
Bruin CLI and ingestr are on GitHub.
A demo walks through your own data.