Snowflake provides many, many benefits for Python Data Engineering over using Spark against a legacy file-based data lake. During the lab you will get hands-on experience with these features and tools and understand how they benefit you as a data engineer!

This hands-on lab session will cover a lot of ground, and by the end you will have learned how to:

  • Build a robust data engineering pipeline using Snowpark Python stored procedures
  • Create pipelines that will process data incrementally
  • Orchestrate your pipelines with Snowflake tasks
  • Deploy your pipelines via a CI/CD pipeline
  • Use Snowflake’s new developer CLI tool and Visual Studio Code extension
  • Jeremiah Hansen

    Principal Data Platform Architect,