Data warehousing in enterprise and mission-critical environments needs special consideration for price/performance. This session will explain how Databricks SQL addresses the most challenging requirements for high-concurrency, low-latency performance at scale. We will also cover the latest advancements in resource-based scheduling, autoscaling and caching enhancements that allow for seamless performance and workload management.

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

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