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.
Is your Data Warehouse serving as collaborative platform for Data Science? – Simon Field, Snowflake
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