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Episode 05 / Pipelines

Safe Publish Pattern Flow

Prepare new data in a staging table, validate it, and publish only after the checks pass. This flow keeps failed results away from the target and includes monitoring after release.

By Mario Caesar

Safe publish flow from building and staging data through validation, publishing, and monitoring, with a failure branch

Reading the sketch

  1. Build the new data

    Run the transformation and prepare the new output.

  2. Write to staging

    Keep the new result in a temporary or staging table instead of writing straight to the target.

  3. Validate before publishing

    Check row counts, uniqueness, nulls, and reconciliation of the key metrics.

  4. Stop if validation fails

    Halt the release and investigate the failed checks before replacing the target.

  5. Publish the validated result

    Use an atomic swap or promotion where the target system supports it. The trusted table should change only when the new data is ready.

  6. Monitor after release

    Check downstream dashboards, confirm freshness, and watch for anomalies after publishing.

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