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Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
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Learn how to scale Databricks SQL to support 2,000 users efficiently and cost-effectively in this 12-minute conference talk. Discover the implementation of serverless architecture for dynamic scalability and resource optimization, where resources automatically scale up during peak times and scale down during low demand to prevent waste. Explore the development of a strong content governance model featuring continuous monitoring to assess query and dashboard performance, user notifications about necessary adjustments, and systems to ensure only relevant content remains active. Understand how queries exceeding time or impact limits trigger access reviews and potential deactivation when necessary. Gain insights into achieving greater efficiency, cost reduction, and improved user experience while maintaining a well-organized and high-performing data platform through practical strategies demonstrated by PicPay's Head of Data Platform and Governance and Data Platform Manager.
Syllabus
Improving User Experience and Efficiency Using DBSQL
Taught by
Databricks