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Why AI Agents Need a New Lakehouse. Ciro Greco (Bauplan) on “Git for Data”

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Manage episode 521304316 series 3521957
Content provided by Joe Reis. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joe Reis 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://podcastplayer.com/legal.

In this episode, Ciro Greco (Co-founder & CEO, Bauplan) joins me to discuss why the future of data infrastructure must be "Code-First" and how this philosophy accidentally created the perfect environment for AI Agents.

We explore why the "Modern Data Stack" isn't ready for autonomous agents and why a programmable lakehouse is the solution. Ciro explains that while we trust agents to write code (because we can roll it back), allowing them to write data requires strict safety rails.

He breaks down how Bauplan uses "Git for Data" semantics - branching, isolation, and transactionality - to provide an air-gapped sandbox where agents can safely operate without corrupting production data. Welcome to the future of the lakehouse.

Bauplan: https://www.bauplanlabs.com/

  continue reading

326 episodes

Artwork
iconShare
 
Manage episode 521304316 series 3521957
Content provided by Joe Reis. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joe Reis 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://podcastplayer.com/legal.

In this episode, Ciro Greco (Co-founder & CEO, Bauplan) joins me to discuss why the future of data infrastructure must be "Code-First" and how this philosophy accidentally created the perfect environment for AI Agents.

We explore why the "Modern Data Stack" isn't ready for autonomous agents and why a programmable lakehouse is the solution. Ciro explains that while we trust agents to write code (because we can roll it back), allowing them to write data requires strict safety rails.

He breaks down how Bauplan uses "Git for Data" semantics - branching, isolation, and transactionality - to provide an air-gapped sandbox where agents can safely operate without corrupting production data. Welcome to the future of the lakehouse.

Bauplan: https://www.bauplanlabs.com/

  continue reading

326 episodes

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