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

Real-Time Analytics with Tim Berglund

محتوای ارائه شده توسط StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

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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

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