DATA OPS
BigQuery Schema-Change Impact Report to Notion
Daily, snapshots every watched BigQuery table schema, detects breaking column changes since yesterday.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionPull current schemas for watched datasetsBigQuery
- LogicDiff against yesterday; classify breaking vs. additive
- ActionResolve downstream views + scheduled queriesBigQuery
- OutputAppend dated impact report to NotionNotion
What it does
Produces a human-readable daily record of what changed in your BigQuery schemas and who it affects. It diffs today's table schemas against yesterday's snapshot, and for each breaking change it walks the dependency graph (views and scheduled queries referencing the table) so the report says exactly which assets are at risk.
When to use it
When leadership or a governance team wants an auditable paper trail of warehouse schema evolution and its blast radius — not a noisy real-time alert, but a reliable daily digest you can reference in reviews.
How it works
- 1A daily schedule fires the run.
- 2Pull current schemas for watched datasets from BigQuery's information schema.
- 3Load yesterday's snapshot and diff; classify changes as additive or breaking.
- 4For breaking changes, query BigQuery dependency metadata to list downstream views and scheduled queries.
- 5Logic step composes a dated impact summary grouped by severity.
- 6Append the report as a new page in the Notion governance database.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect NotionPages, databases, comments.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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