Are you using Serverless DBSQL for the first time? Are the different stages and query profile confusing for you? Then you’re at the right place! Join Michelle Deng, a Specialist Solutions Architect from Databricks, as she goes over a Medium blog that she wrote for the DBSQL SME community. The blog is linked below for reference. The video is a quick deep dive into how Databricks SQL Serverless handles queries at each stage, how caching (cold/warm/hot) influences performance, and practical configuration and optimization strategies such as liquid clustering, predictive optimization, and dimensional modeling to ensure faster, more consistent results. Understanding these stages and caching states helps explain unexpected performance variability, design consistent benchmarks, and apply targeted tuning at the right stage. #databricks #sql #serverless
► Original Article - https://medium.com/dbsql-sme-engineering/understanding-the-journey-of-a-databricks-sql-serverless-qu...
► Speaker - https://www.linkedin.com/in/michelle-deng-376ab348/
