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Why Apache Druid is Not Like Other OLAP Databases with Muthu Lalapet and David Wang

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Manage episode 377233891 series 3512228
Content provided by Imply Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Imply Data 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://ppacc.player.fm/legal.

On today’s episode, we’re joined by David Wang, VP of Product Marketing at Imply and Muthu Lalapet, Director of Worldwide Sales Engineering at Imply to dig into Apache Druid, a high performance, real-time analytics database. Thousands of companies are already using Druid today, from Netflix to Salesforce. But what is Apache Druid best used for? What types of projects? What data sets are Druid users working with? What are companies doing with Druid? Listen to hear real-life examples of where Druid works best: Operational visibility at scale, customer-facing analytics, rapid-drill down exploration and real-time decisioning.

  continue reading

31 episodes

Artwork
iconShare
 
Manage episode 377233891 series 3512228
Content provided by Imply Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Imply Data 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://ppacc.player.fm/legal.

On today’s episode, we’re joined by David Wang, VP of Product Marketing at Imply and Muthu Lalapet, Director of Worldwide Sales Engineering at Imply to dig into Apache Druid, a high performance, real-time analytics database. Thousands of companies are already using Druid today, from Netflix to Salesforce. But what is Apache Druid best used for? What types of projects? What data sets are Druid users working with? What are companies doing with Druid? Listen to hear real-life examples of where Druid works best: Operational visibility at scale, customer-facing analytics, rapid-drill down exploration and real-time decisioning.

  continue reading

31 episodes

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