Data Engineering With Python In Snowflake

"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. We also invite you to watch the webinar "Best Practices for Python Data Transformations in Snowflake" to discover how to execute custom Python code with stored procedures and various UDF types for ELT/ETL. Register now at https://tinyurl.com/bdfj8jm8