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Is SQream the fastest big data platform? (Ep. 250)

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Manage episode 398359341 series 3497898
Content provided by Francesco Gadaleta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Francesco Gadaleta 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.

Join us in a dynamic conversation with Yori Lavi, Field CTO at SQream, as we unravel the data analytics landscape. From debunking the data lakehouse hype to SQream's GPU-based magic, discover how extreme data challenges are met with agility.
Yori shares success stories, insights into SQream's petabyte-scale capabilities, and a roadmap to breaking down organizational bottlenecks in data science.
Dive into the future of data analytics with SQream's commitment to innovation, leaving legacy formats behind and leading the charge in large-scale, cost-effective data projects.
Tune in for a dose of GPU-powered revolution!

References

  continue reading

264 episodes

Artwork
iconShare
 
Manage episode 398359341 series 3497898
Content provided by Francesco Gadaleta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Francesco Gadaleta 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.

Join us in a dynamic conversation with Yori Lavi, Field CTO at SQream, as we unravel the data analytics landscape. From debunking the data lakehouse hype to SQream's GPU-based magic, discover how extreme data challenges are met with agility.
Yori shares success stories, insights into SQream's petabyte-scale capabilities, and a roadmap to breaking down organizational bottlenecks in data science.
Dive into the future of data analytics with SQream's commitment to innovation, leaving legacy formats behind and leading the charge in large-scale, cost-effective data projects.
Tune in for a dose of GPU-powered revolution!

References

  continue reading

264 episodes

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