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The author believes that SQL is the core competency of Data Engineering. Now that ChatGPT can translate natural language into good SQLs. So Data Engineering is going to be retired?

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I think it will change or alleviate the tedium of the boring bits of exploring a dataset, figuring out if the dataset can join to another dataset in the way you thought of first, and writing a few of the dashboards.

Hopefully it means I can dig into the real problem (correctness, idempotency, and performance) rather than the tedious implementation.

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