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Data Engineering With Python In Snowflake

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"Cloud Data Engineering for Dummies, Snowflake Special Edition," states: "Data engineering isn't something you do once. It's an ongoing practice that involves collecting, preparing, transforming, and delivering data." Snowpark Python presents a powerful new way to do data engineering. In this session, we'll focus on building data engineering pipelines with Python. You'll see the end-to-end process of creating a robust data engineering pipeline using Snowpark Python stored procedures. That pipeline will process data incrementally, be orchestrated with Snowflake Tasks, and be deployed via a CI/CD pipeline. You'll also learn how to use Snowflake's new developer CLI tool and Visual Studio Code extension.
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