Learn directly from the Microsoft Fabric Engineering Product Group about two powerful features that enhance Spark performance in your Lakehouse: the Native Execution Engine and Autotune.

The Native Execution Engine improves the speed of Spark jobs using efficient technologies like columnar data formats and vectorized processing, making it faster to process and analyze large datasets. Autotune simplifies Spark configuration by automatically adjusting settings based on your workload, saving time and effort while improving performance.

This session will provide a practical, in-depth look at how these tools work and how they can help you handle demanding data engineering and machine learning tasks. Whether you’re building pipelines, optimizing ETL jobs, or running advanced analytics, you’ll gain actionable insights from the team that developed these features.