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Compute layer for data, Vector search, AI infrastructure | Venkat Venkataramani, cofounder and CEO of Rockset

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Manage episode 373470469 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi 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.

Venkat Venkataramani is the cofounder and CEO of Rockset, a real-time search and analytics database built for the cloud. They've raised more than $60M in funding from the likes of Greylock and Sequoia. He was previously at Meta for 8 years and Oracle for 5.5 years. He has spent his entire life building data products, so he has a ton of insights on this topic.
In this episode, we cover a range of topics including:
- Separation of storage and compute
- Isolating compute for ingest and query
- Converged Index
- Vector search
- Stream Processing Systems vs Real-Time Analytics Databases
- Data infra for AI applications
- Bringing compute to data
Venkat's favorite books:
- The Hitchhiker's Guide to the Galaxy (Author: Douglas Adams)
- The Three-Body Problem (Author: Liu Cixin)
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi

  continue reading

171 episodes

Artwork
iconShare
 
Manage episode 373470469 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi 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.

Venkat Venkataramani is the cofounder and CEO of Rockset, a real-time search and analytics database built for the cloud. They've raised more than $60M in funding from the likes of Greylock and Sequoia. He was previously at Meta for 8 years and Oracle for 5.5 years. He has spent his entire life building data products, so he has a ton of insights on this topic.
In this episode, we cover a range of topics including:
- Separation of storage and compute
- Isolating compute for ingest and query
- Converged Index
- Vector search
- Stream Processing Systems vs Real-Time Analytics Databases
- Data infra for AI applications
- Bringing compute to data
Venkat's favorite books:
- The Hitchhiker's Guide to the Galaxy (Author: Douglas Adams)
- The Three-Body Problem (Author: Liu Cixin)
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi

  continue reading

171 episodes

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