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Dremio on Evolving Data-Technology Landscape

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Manage episode 407748436 series 3442174
Content provided by Magnus Henriksson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Magnus Henriksson 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.

Driving intelligence and monetizing enterprise data depends on the underlying data architecture, query engines and storage resources. In this edition of Bloomberg Intelligence’s Tech Disruptors podcast, Dremio cofounder and Chief Product Officer Tomer Shiran joins BI senior software analyst Sunil Rajgopal, to discuss the evolving data-management architecture and technologies and how the company is working to curtail bottlenecks and enable business-intelligence analysts and data scientists to query and draw insights at scale and at high speed. They also discuss how the platform differs and competes with bigger data-management platforms, such as Snowflake, MongoDB, the movement toward Zero ETL and potential implications of AI and how that’s likely to shape jobs.

  continue reading

161 episodes

Artwork
iconShare
 
Manage episode 407748436 series 3442174
Content provided by Magnus Henriksson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Magnus Henriksson 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.

Driving intelligence and monetizing enterprise data depends on the underlying data architecture, query engines and storage resources. In this edition of Bloomberg Intelligence’s Tech Disruptors podcast, Dremio cofounder and Chief Product Officer Tomer Shiran joins BI senior software analyst Sunil Rajgopal, to discuss the evolving data-management architecture and technologies and how the company is working to curtail bottlenecks and enable business-intelligence analysts and data scientists to query and draw insights at scale and at high speed. They also discuss how the platform differs and competes with bigger data-management platforms, such as Snowflake, MongoDB, the movement toward Zero ETL and potential implications of AI and how that’s likely to shape jobs.

  continue reading

161 episodes

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