Data scientists don’t scale. In using them to do manual data preparation, you’re missing a huge opportunity to extract the most value from your intellectual assets. The good news? By automating and accelerating much of this raw data crunching and ETL work, you enable non-data scientists to do data preparation rapidly and simply—and ask their own questions and find their own answers. What’s more,…
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