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by _dark_matter_
973 days ago
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One big one I've seen are online ML models. You essentially have a feature store built on SQL ETLs. The ML engineers utilize this to build models, and deploy those to production. However when using the models for prediction, the data hasn't been ETLed (think: credit modeling). One solution here is to use the same SQL for the ETL and for the online transformation to query the model. It can guarantee the biz logic in the features matches between training and online. |
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