Data Engineering with Snowpark in Snowflake Notebooks

Are you a data engineer or developer looking to modernize your data pipelines and use Python logic directly on your Snowflake data? This Snowpark Hands-on Lab is designed for data professionals ready to build, test, and deploy data applications entirely within Snowflake.

We will conduct a comprehensive, code-driven tour focusing on a Notebook-based process - one way to build data pipelines with Snowpark.

This lab directly solves common data pipeline challenges and shows how Snowpark improves developer efficiency. Using a Notebook-centric approach we help teams to execute complex data transformations and operations like merge with high performance. This will culminate in showing how CI/CD can be applied to make sure code updates versioned via git result in updates in your Snowflake account across different environments.

Lastly, we will touch on the art of the possible for Snowpark in other areas such as Machine Learning, Apache Iceberg integrations, and custom tools for Snowflake Intelligence. This session will not only help you understand where Snowpark fits in your data estate, but also how to maximize its potential.

Link to code