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STG237-S: Learn how GMI achieves high performance for its databases
Manage episode 276820874 series 2819993
Content provided by John Rotenstein. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John Rotenstein 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.
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Manage episode 276820874 series 2819993
Content provided by John Rotenstein. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John Rotenstein 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.
The cloud has made it possible to process massive amounts of data at scale. When it comes to big data sets, human genomic projects are considered to be some of the largest in the world. In this session, we explore how GMI, a leading genomics research company, is running multiple studies to advance development for disease treatment. You learn how the company used fast, reliable on-premises connectivity to cloud storage for quick upload of large data sets to shorten the time required to process each sequence. Additionally, you discover how GMI used NetApp persistent shared storage and Amazon EC2 Spot Instances to achieve cost savings of up to 90 percent. This presentation is brought to you by NetApp, an APN Partner.
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Similar to AWS re:Invent 2019
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