As data volumes grow, organizations are moving from traditional data warehouses to open, scalable data lakes. But querying and managing large-scale Iceberg datasets efficiently requires the right tools. In this session, I’ll showcase how LSports leverages Starburst’s Trino-based query engine to unlock Iceberg’s full potential, enabling seamless SQL queries across massive data lakes while maintaining performance. We’ll discuss real-world use cases, optimization strategies, and practical insights on integrating Starburst into an existing data ecosystem.