Rahul Mahadev

Optimizing cost and performance in the lakehouse starts with how your data is stored and organized. In this session, we’ll show how Intelligent Storage and Liquid Clustering work together to automatically optimize data layout for your workloads. You’ll get a quick refresher on Liquid Clustering, then dive into what’s new, including Automatic Liquid Clustering on Unity Catalog managed tables, adaptive layouts that handle evolving query patterns, and metadata-driven optimizations that reduce unnecessary data scans. More importantly, we’ll cover best practices for when and how to rely on automation versus manual tuning. Learn how to choose the right table types, avoid common pitfalls, and take advantage of co-clustered joins and layout-aware optimizations to accelerate queries at scale. Whether you’re managing terabytes or petabytes, walk away with practical guidance to reduce costs and improve performance without constant intervention.

In this presentation, we’ll dive into the power of Liquid Clustering—an innovative, out-of-the-box solution that automatically tunes your data layout to scale effortlessly with your datasets. You’ll get a deep look at how Liquid Clustering works, along with real-world examples of customers leveraging it to unlock blazing-fast query performance on petabyte-scale datasets. We’ll also give you an exciting sneak peek into the roadmap ahead, with upcoming features and enhancements to come.