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Vector Databases Won’t Replace SQL - Andy Pavlo

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Manage episode 421901719 series 3418247
Content provided by The Data Bros and The Firebolt Data Bros. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Data Bros and The Firebolt Data Bros 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.

SQL’s slow. SQL’s stupid. We hear these claims every time a new shiny tool enters the market, only to realize five years later when the hype dies down that SQL is actually a good idea.

In this super techie episode of the Data Engineering Show, Andy Pavlo, Associate Professor at Carnegie Mellon University, joins the bros to delve into database internals and optimization.

Andy discusses leveraging ML for autonomous database optimization, using Postgres for practical applications, tuning production databases safely, and why SQL is here to stay.

  continue reading

37 episodes

Artwork
iconShare
 
Manage episode 421901719 series 3418247
Content provided by The Data Bros and The Firebolt Data Bros. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Data Bros and The Firebolt Data Bros 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.

SQL’s slow. SQL’s stupid. We hear these claims every time a new shiny tool enters the market, only to realize five years later when the hype dies down that SQL is actually a good idea.

In this super techie episode of the Data Engineering Show, Andy Pavlo, Associate Professor at Carnegie Mellon University, joins the bros to delve into database internals and optimization.

Andy discusses leveraging ML for autonomous database optimization, using Postgres for practical applications, tuning production databases safely, and why SQL is here to stay.

  continue reading

37 episodes

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