22-25 April 2026 
Data Engineering with Microsoft Fabric Spark and Lakehouse
2025TL; DR
In this session, we’ll take a focused look at Spark on Microsoft Fabric. Through hands-on demos, we’ll cover key features, architectural patterns, and best practices for building scalable data systems.
You’ll learn how Fabric Spark supports open table formats like Delta Lake and others, enables interoperability across compute engines, and simplifies both batch and streaming workloads. Whether you're migrating to Fabric or looking to sharpen your Spark expertise, this session will give you the practical insight needed to build and operate Spark applications.
Session Details
In this session, we’ll take a focused look at Spark on Microsoft Fabric. Through hands-on demos, we’ll cover key features, architectural patterns, and best practices for building scalable data systems.
You’ll learn how Fabric Spark supports open table formats like Delta Lake and others, enables interoperability across compute engines, and simplifies both batch and streaming workloads. Whether you're migrating to Fabric or looking to sharpen your Spark expertise, this session will give you the practical insight needed to build and operate Spark applications.
You’ll learn how Fabric Spark supports open table formats like Delta Lake and others, enables interoperability across compute engines, and simplifies both batch and streaming workloads. Whether you're migrating to Fabric or looking to sharpen your Spark expertise, this session will give you the practical insight needed to build and operate Spark applications.