Jason Freeberg

In this hands-on lab, you will learn how to develop, deploy, orchestrate and monitor PySpark applications on Snowflake. Discover how to execute heavy-lifting Apache Spark jobs directly where your data lives, eliminating siloed platforms and risky data movement. You will migrate existing code, automate pipelines and apply unified governance. Join us to see how our fully managed runtime simplifies your architecture, allowing you to focus on insights rather than infrastructure management.

Expand your Snowflake workflows by combining the power of SQL with Python. In this hands-on lab, you’ll learn to write Python UDFs, DataFrames and Procedures and integrate them seamlessly into your SQL queries, transforming how you approach complex data processing. We’ll also cover practical strategies for monitoring and troubleshooting Python code. Whether you’re a data analyst or BI engineer, this session will give you the tools to level up your skills and unlock new possibilities with Snowflake.

In today's data-driven landscape, visibility into workloads is essential for ensuring performance, reliability and efficiency. Snowflake Trail, Snowflake’s suite of observability tools, allows you to monitor, analyze and optimize diverse data workloads. In this session, we will explore key observability capabilities from auto-instrumentation to real-time monitoring. Through a real-world example, you'll see how Snowflake Trail enables deep observability, helping you enhance performance, troubleshoot issues and drive operational excellence.