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Where ML and DevOps Meet - ML 108

Adventures in Machine Learning

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Data Validation

There's tools that you can automatically, you know, these concepts, they're not new. The theory of them, this goes back many hundreds of years. And a lot of people have already implemented these techniques in packages. But the trick is those detection algorithms and their implementations are not typically built into a data engineering ingest layer. You don't buy a database from somebody and it comes with data validation checks. That'll do effective full screening of all that data.

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