Sponsored by: Keebo | Teach Your Warehouse to Drive Itself: Cutting Costs with Reinforcement Learning on Databricks SQL

Databricks SQL has transformed how teams interact with their data, delivering fast query performance, seamless scalability, and a lakehouse architecture that brings together the best of data warehousing and data engineering. It’s an incredibly powerful platform, but getting the most out of it requires constant attention to cost and performance. Warehouse workloads are dynamic. Query demands shift around the clock, teams grow, and what was perfectly tuned last week may be wasteful or underperforming today. Maximizing efficiency on Databricks SQL is not a one-time task. It’s an ongoing challenge. That’s where Keebo comes in. In this session, we’ll show how Keebo uses reinforcement learning to learn your unique workload patterns and continuously optimize your Databricks SQL warehouses in real time, maximizing performance while reducing costs. No manual tuning. No trade-offs. Just a warehouse that gets smarter over time.