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Brian Olsen and Trino Community에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Brian Olsen and Trino Community 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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41: Trino puts on its Hudi

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Manage episode 347235258 series 2796878
Brian Olsen and Trino Community에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Brian Olsen and Trino Community 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.

Trino's initial use case was around replacing the Apache Hive runtime. As data lakes grew into prominence, it became clear that having a faster query engine didn't solve all problems. The Hive model itself was a huge bottleneck and didn't provide features that companies needed akin to data warehouses and databases. Apache Hudi is a new table format created out of Uber that aims to address many of these issues and usher in a new generation of data lake.

Tune in as we speak to the Trino Hudi connector contributor Sagar Sumit and Grace Lu who uses Trino and Hudi at Robinhood to discuss the new Hudi connector and future plans!

- Intro Music: 0:00

- Intro: 0:32

- Releases: 14:43

- Concept of the episode: Intro to Hudi and the Hudi connector: 22:29

- Concept of the episode: Merge on read and copy on write tables: 28:28

- Concept of the episode: Hudi metadata table: 39:24

- Concept of the episode: Hudi data layout: 46:39

- Concept of the episode: Robinhood Trino and Hudi use cases: 51:12

- Concept of the episode: Current state and roadmap for the Hudi connector: 1:03:15

- Pull request of the episode: PR 14445: Fault-tolerant execution for PostgreSQL and MySQL connectors: 1:08:14

- Demo of the episode: Using the Hudi Connector: 1:13:34

Show Notes: https://trino.io/episodes/41.html

Show Page: https://trino.io/broadcast/

  continue reading

58 에피소드

Artwork
icon공유
 
Manage episode 347235258 series 2796878
Brian Olsen and Trino Community에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Brian Olsen and Trino Community 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.

Trino's initial use case was around replacing the Apache Hive runtime. As data lakes grew into prominence, it became clear that having a faster query engine didn't solve all problems. The Hive model itself was a huge bottleneck and didn't provide features that companies needed akin to data warehouses and databases. Apache Hudi is a new table format created out of Uber that aims to address many of these issues and usher in a new generation of data lake.

Tune in as we speak to the Trino Hudi connector contributor Sagar Sumit and Grace Lu who uses Trino and Hudi at Robinhood to discuss the new Hudi connector and future plans!

- Intro Music: 0:00

- Intro: 0:32

- Releases: 14:43

- Concept of the episode: Intro to Hudi and the Hudi connector: 22:29

- Concept of the episode: Merge on read and copy on write tables: 28:28

- Concept of the episode: Hudi metadata table: 39:24

- Concept of the episode: Hudi data layout: 46:39

- Concept of the episode: Robinhood Trino and Hudi use cases: 51:12

- Concept of the episode: Current state and roadmap for the Hudi connector: 1:03:15

- Pull request of the episode: PR 14445: Fault-tolerant execution for PostgreSQL and MySQL connectors: 1:08:14

- Demo of the episode: Using the Hudi Connector: 1:13:34

Show Notes: https://trino.io/episodes/41.html

Show Page: https://trino.io/broadcast/

  continue reading

58 에피소드

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