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Cross-posted on Reddit ML.

Should a Feature Store be part of an enterprise data catalog?

To me, a feature store seems to be a highly niche data catalog but missing a lot of the benefits of having an enterprise data catalog / data discovery tool. My need is to have generated features discoverable when searching for data.

For example, if I have dataset A and B used to generate a feature set AB', I would want to know about that information if I search and ever come across dataset A or B in my data catalog.

Along with that, it would be beneficial to have the code / git commit that generated the features.

Am I missing something?

desertnaut
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