Are you a Python data engineer who loves building with Python? With Snowpark, you can now run Python (and other languages) directly in Snowflake, eliminating the need to move data. And with new capabilities, you can build, schedule, deploy, monitor, and operationalize Python data pipelines—all within Snowflake.

Join this instructor-led virtual hands-on lab to learn how to build an end-to-end data pipeline using Snowflake’s Pandas API and Serverless Tasks, all in Snowflake Notebooks.

You'll learn how to:

✅ Create a Snowpark Pandas DataFrame from a Snowflake table

✅ Aggregate data to generate new features

✅ Join Snowpark Pandas DataFrames

✅ Save a Snowpark Pandas DataFrame back to Snowflake

✅ Schedule feature engineering using serverless tasks

Ready to level up your Python data pipelines? 🚀