Most data teams sprinkle tests across their medallion architecture and hope the right ones land. A few row-count checks on gold, a freshness check on bronze, maybe a null check on silver. Then a silent schema change in the bronze layer takes down the gold dashboard on a Tuesday morning and everyone wonders where the test was.
There are four points where data testing actually changes outcomes, and the rest is decoration. The source landing into bronze is where data quality problems are cheapest to find. The bronze ingestion step is where observability earns its keep. The bronze-to-gold transformation is where you protect production from yourself. Pre-deployment is where you catch the regression that would have woken you up at 3am. Skip any of these and your architecture is one bad commit away from a long incident.
In this on-demand webinar, we walk through all four points on real data, with live demonstrations using DataKitchen TestGen. You’ll get a clear map of where the tests go, why each location pays off, and how to connect, profile, and generate tests against your own bronze layer in under an hour.
If you’re running a medallion architecture and you’re not sure whether you’re testing in the right places, this session is for you.
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