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How to Scale Data Infrastructure from Startup to Enterprise

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Manage episode 491830310 series 3549532
Content provided by Cockroach Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cockroach Labs 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.
In this episode, David sits down with Nishant Raman, a seasoned data infrastructure expert, to explore the evolving world of data engineering, AI integration, and building scalable systems from the ground up. With experience across logistics, healthcare, and fintech, Nishant shares hard-won insights from years of building resilient, cost-conscious infrastructure that scales with company growth and technical complexity.
From choosing the right database to navigating the post-LLM explosion in tooling, this conversation offers a rare behind-the-scenes look at what it takes to thrive as the first data hire and beyond.
Join us as we discuss:
  • Nishant’s accidental path into data engineering and lessons from startup life
  • The tradeoffs that can come with building scalable, cost-efficient data systems
  • The growing role of AI in data infrastructure and what’s coming next for data teams
  continue reading

62 episodes

Artwork
iconShare
 
Manage episode 491830310 series 3549532
Content provided by Cockroach Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cockroach Labs 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.
In this episode, David sits down with Nishant Raman, a seasoned data infrastructure expert, to explore the evolving world of data engineering, AI integration, and building scalable systems from the ground up. With experience across logistics, healthcare, and fintech, Nishant shares hard-won insights from years of building resilient, cost-conscious infrastructure that scales with company growth and technical complexity.
From choosing the right database to navigating the post-LLM explosion in tooling, this conversation offers a rare behind-the-scenes look at what it takes to thrive as the first data hire and beyond.
Join us as we discuss:
  • Nishant’s accidental path into data engineering and lessons from startup life
  • The tradeoffs that can come with building scalable, cost-efficient data systems
  • The growing role of AI in data infrastructure and what’s coming next for data teams
  continue reading

62 episodes

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