Databricks SQL Serverless Under the Hood: How We Use ML to Get the Best Price/Performance

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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