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Data Council Week (Ep 2): Testing and Observability Are Two Sides of the Same Coin With Ben Castleton of Great Expectations

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Data Quality - What's the Difference?

The idea was that we want to build a shared standard for data quality, and do that out in the open. We're starting at it from the point where you say, well, we want to be able to test that data as it moves through a system. It's more human in the loop systems that sort of evolve with machine learning and work together t o figure out mixed up faster. And auto made a lot of those pieces ther oit mix the full sens.

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