Optimize Pinot Performance: Capacity Planning with Sandeep Dabade | Ep. 29

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In this episode of the 'Real-Time Analytics' podcast, dive into the world of Pinot capacity planning with Sandeep Dabade, a solutions engineer at StarTree. Discover how to calculate the perfect cluster size for your real-time analytics requirements and explore essential technical KPIs like read throughput, write throughput, and data size. Sandeep shares invaluable insights into optimizing Pinot for seamless data processing and analytics, making this episode essential for anyone tackling real-time data challenges.

Sandeep's blogs:
► https://startree.ai/blog/best-practices-for-designing-tables-in-apache-pinot
► https://startree.ai/blog/star-tree-indexes-in-apache-pinot-part-1-understanding-the-impact-on-query-performance
► https://startree.ai/blog/star-tree-indexes-in-apache-pinot-part-2-understanding-the-impact-during-high-concurrency
► https://startree.ai/blog/star-tree-index-in-apache-pinot-part-3-understanding-the-impact-in-real-customer