Organizations are increasingly realising they need to consolidate the data input, pipelines and outputs of their data science work into a central place for both governance and reuse. This session will cover how a Data Warehouse can be used for both feature engineering and as a shared feature-repository for Data Science teams. We will show how capabilities of Snowflakes Data Warehouse service lend themselves to this use.
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