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StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Optimize Pinot Performance: Capacity Planning with Sandeep Dabade | Ep. 29

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Manage episode 381338185 series 3463469
StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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

  continue reading

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Artwork
icon공유
 
Manage episode 381338185 series 3463469
StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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

  continue reading

57 에피소드

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