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Drill to Detail Ep.51 'Druid, Imply and OLAP Analysis on Event-Level Datasets' With Special Guest Fangjin Yang

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Manage episode 262739602 series 2685896
Content provided by Rittman Analytics and Mark Rittman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rittman Analytics and Mark Rittman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Mark Rittman is joined by Special Guest Fangjin Yang to talk about the history of Druid, a high-performance, column-oriented, distributed data store originally developed by the team at Metamarkets to provide fast ad-hoc access to large amounts of event-level marketing data, and his work at Imply to commercialise Druid and build a suite of supporting query and data management tools.

Druid project homepage

Druid - A Real-Time Analytical Data Store (pdf)

Druid - Learning about the Druid Architecture

Imply.io homepage

Druid, Imply and Looker 5 bring OLAP Analysis to BigQuery’s Data Warehouse

  continue reading

98 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on September 20, 2022 08:37 (2y ago). Last successful fetch was on June 21, 2022 09:18 (2+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 262739602 series 2685896
Content provided by Rittman Analytics and Mark Rittman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rittman Analytics and Mark Rittman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Mark Rittman is joined by Special Guest Fangjin Yang to talk about the history of Druid, a high-performance, column-oriented, distributed data store originally developed by the team at Metamarkets to provide fast ad-hoc access to large amounts of event-level marketing data, and his work at Imply to commercialise Druid and build a suite of supporting query and data management tools.

Druid project homepage

Druid - A Real-Time Analytical Data Store (pdf)

Druid - Learning about the Druid Architecture

Imply.io homepage

Druid, Imply and Looker 5 bring OLAP Analysis to BigQuery’s Data Warehouse

  continue reading

98 episodes

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