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Where ML and DevOps Meet - ML 108

Adventures in Machine Learning

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Do We Really Need a Factory Pattern?

Having that kind of understanding of like sort of where the priority is and what's happening where is also very, very important. Yeah, 100%. I couldn't even begin to communicate how many teams that I've worked with while it was in the field at Databricks where you talk to this seasoned sort of salty data engineer or a software back end software engineer they're like, well, we need to create these layers. And my response at first was like, do we really need like, you know, go home and like crack open a couple of software development books?

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