Data engineering¶
Before a model can learn, data must be collected, stored, transformed, and served reliably, at a volume and velocity that a spreadsheet or a single Postgres table cannot handle. Data engineering is that discipline — plumbing, but plumbing that determines whether every downstream analytics query and every ML training run is correct, fast, and affordable. …
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