Data volumes are skyrocketing, and with every new project, the pressure is on for data engineers to deliver performant queries over larger and larger datasets. In this session, we will deep dive into how Delta Lake’s partitioning and Liquid Clustering capabilities can transform query performance in Microsoft Fabric. We’ll be putting these optimisations to the test against a massive dataset to demonstrate real-world impacts on speed and efficiency.

We’ll explore the details of Delta partitioning to ensure your data is stored in the most optimal way, reducing query overhead and slashing runtimes. Then we’ll crank it up with Liquid Clustering, an advanced feature that automatically reorganises your data for faster queries. Finally, we’ll show you how to integrate these Delta optimisations into your Microsoft Fabric Lakehouse, so you can power your dashboards, reports, or machine learning pipelines with near real-time insights and without the dreaded performance bottlenecks.

By the end of this session, you will:
1. Understand when, why, and how Delta partitioning improves query performance.
2. Enable Liquid Clustering in Delta Lake to keep your data lean, mean, and query-ready.
3. Integrate partitioned and clustered Delta tables seamlessly with Microsoft Fabric for next-level analytics.

Brace yourself: This session may contain dangerously optimised partition strategies and an overdose of high-speed query demos! If you’re a data engineer looking for hands-on techniques to crush query latencies and boost productivity in Microsoft Fabric, then this is your must-attend deep dive. Get ready to leave your old, slow queries in the dust.