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Big data’s roots are in the hyperscalers. As a result, most tooling we use for analytics today has been built around a scale-out approach where performance is sacrificed for the ability to handle enormous amounts of da...
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Lakes v. warehouses, analytics v. AI/ML, SQL v. everything else... As the technical capabilities of data lakes and data warehouses converge, are the separate tools and teams that run AI/ML and analytics converging as well?