Join this session to learn how Databricks SQL Serverless warehouses use ML to make large improvements in price-performance for both ETL and BI workloads. We will demonstrate how they can cater to an organization’s peak concurrency needs for BI and showcase the latest advancements in resource-based scheduling, autoscaling, and caching enhancements that allow for seamless performance and workload management. We will deep dive into new features such as Predictive I/O and Intelligent Workload Management, and show new price/performance benchmarks.

Talk by: Gaurav Saraf, Mostafa Mokhtar, and Jeremy Lewallen

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksin

To learn more, visit the Databricks Security and Trust Center: https://www.databricks.com/trust

In this session, we will talk about the best practices for setting up Databricks to run at large enterprise scale with thousands of users, departmental security and governance, and end-to-end lineage from ingestion to BI tools. We’ll showcase the power of Unity Catalog and Databricks SQL as the core of your modern data stack and how to achieve both data, environment, and financial governance while empowering your users to quickly find and access the data they need.

Talk by: Siddharth Bhai, Paul Roome, Jeremy Lewallen, and Samrat Ray

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksin