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The Four Points In Your Medallion Architecture Where Data Testing Really Matters

 

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Most data teams test in the wrong places — or not at all. In one hour, we will show you your medallion architecture and the exact four points where a test delivers maximum impact. Not theory. We open the tools and show you how it's done.

The four points — and why they're the ones that matter.

  1. Source / Bronze layer: Data quality. Catch bad data at the point of origin, before it poisons every layer downstream. The cheapest fix in your pipeline.

  2. Bronze ingestion: Data observability. Monitor freshness, volume, and schema drift across every table — find anomalies before your stakeholders do.

  3. Bronze → Silver → Gold transforms: Data production. Embed tripwires directly in your pipeline. Stop bad data from advancing to the next layer — automatically.

  4. Dev / QA before deployment: Deployment Test code logic against production data in staging. Catching a regression here costs 100× less than fixing it in prod.

What you'll leave with:

  • A clear map of your medallion architecture showing exactly where to place tests — and why those four points and not others

  • A live walkthrough of DataKitchen TestGen and DataOps Observability doing each of the four jobs — on real data, in real time

  • The exact steps to connect, profile, and generate tests against your own bronze layer IN ONE HOUR

WATCH NOW!