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43: Trino saves trips with Alluxio

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Manage episode 351356993 series 2796878
内容由Brian Olsen and Trino Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Brian Olsen and Trino Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Let's face it, out of all those petabytes of data you've been hoarding, only a small fraction of it is creating business value for you today. When you scan the same data multiple times and transfer it over the wire, you're wasting time, compute cycles, and ultimately money. This gets worse when you're pulling data across regions or clouds from disaggregate Trino clusters. In situations like these, caching solutions like Alluxio can make a tremendous impact on the latency and cost of your queries. In this episode, we sit down with Alluxio PMC members, Bin Fan and Beinan Wang, to discuss Alluxio, its use cases, architecture, and how it fits into the Trino architecture. Show Notes: https://trino.io/episodes/43.html Show Page: https://trino.io/broadcast/
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Manage episode 351356993 series 2796878
内容由Brian Olsen and Trino Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Brian Olsen and Trino Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Let's face it, out of all those petabytes of data you've been hoarding, only a small fraction of it is creating business value for you today. When you scan the same data multiple times and transfer it over the wire, you're wasting time, compute cycles, and ultimately money. This gets worse when you're pulling data across regions or clouds from disaggregate Trino clusters. In situations like these, caching solutions like Alluxio can make a tremendous impact on the latency and cost of your queries. In this episode, we sit down with Alluxio PMC members, Bin Fan and Beinan Wang, to discuss Alluxio, its use cases, architecture, and how it fits into the Trino architecture. Show Notes: https://trino.io/episodes/43.html Show Page: https://trino.io/broadcast/
  continue reading

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