Is my idea of a Feature Store wrong?
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?
Topic mlops feature-engineering
Category Data Science