Struggling with runaway cloud costs as your organization grows? Join us for an inside look at how Databricks’ own Data Platform team tackled escalating spend in some of the world’s largest workspaces — saving millions of dollars without sacrificing performance or user experience. We’ll share how we harnessed powerful features like System Tables, Workflows, Unity Catalog, and Photon to monitor and optimize resource usage, all while using data-driven decisions to improve efficiency and ensure we invest in the areas that truly drive business impact. You’ll hear about the real-world challenges we faced balancing governance with velocity and discover the custom tooling and best practices we developed to keep costs in check. By the end of this session, you’ll walk away with a proven roadmap for leveraging Databricks to control cloud spend at scale.

Ever wonder how Databricks operates its own enterprise lakehouse, where all employees and all teams inside use data and AI to solve problems and guide our decisions? Bruce Wong, head of data platforms, will talk about how his team leverages Databricks itself.

This session is repeated. Peek behind the curtain to learn how Databricks processes hundreds of petabytes of data across every region and cloud where we operate. Learn how Databricks leverages Data and AI to scale and optimize every aspect of the company. From facilities and legal to sales and marketing and of course product research and development. This session is a high-level tour inside Databricks to see how Data and AI enable us to be a better company. We will go into the architecture of things for how Databricks is used for internal use cases like business analytics and SIEM as well as customer-facing features like system tables and assistant. We will cover how data production of our data flow and how we maintain security and privacy while operating a large multi-cloud, multi-region environment.