Data Modeling is NOT Dead
Why it can't (and shouldn't) be replaced by AI
Last year I embarked on the biggest project of my career as an analytics engineer. To build a revenue model from scratch.
We had a revenue model but it was written in R (not SQL), wasn’t on the grain that we needed it to be, and contained logic that we couldn’t quite explain.
As a data team, you need to know how to read and edit your data models, whether…
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