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Quite a lot of ETL ends up being some minor transforms + a query or two.

Not all of it is massive ML models doing a lot of computation, and I've had a lot of success using pandas and numpy in it (and gcp cloud functions).

Serverless has its niche and is a great little tool to smooth the impedance mismatch between data stores.



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