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Data Quality for Data Science
Data quality is really used more from a pro development standpoint. A lot of those measures are actually coming from the data science teams themselves, rather thantes these dedicated, dative quality iations that exist in almost every enterprise organization right now. If you're going through the effort of doing it almost like a feature store, there needs to be some form of a feature cleansing store. Those two ere going to have to meet in the middle somewhere. I think we're on the way to doing that.