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Santona Tuli - #TrueDataOps Podcast Ep 32 (S2, Ep14)

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Manage episode 442898157 series 3420960
Content provided by DataOps.live. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataOps.live 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 of the #TrueDataOps podcast, host Kent Graziano talks with Santona Tuli, a physicist turned data scientist. Santona discusses her transition from analyzing nuclear collisions at CERN to her role in the tech industry, emphasizing the challenges and innovations in managing large-scale data. She explores the concept of data products and the importance of a product mindset in data operations, stressing the need to understand user needs and maintain service level agreements. The episode also covers the role of AI in automating data processes and the necessity of continuous monitoring and testing to ensure operational efficiency and reliability.

  continue reading

31 episodes

Artwork
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Manage episode 442898157 series 3420960
Content provided by DataOps.live. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataOps.live 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 of the #TrueDataOps podcast, host Kent Graziano talks with Santona Tuli, a physicist turned data scientist. Santona discusses her transition from analyzing nuclear collisions at CERN to her role in the tech industry, emphasizing the challenges and innovations in managing large-scale data. She explores the concept of data products and the importance of a product mindset in data operations, stressing the need to understand user needs and maintain service level agreements. The episode also covers the role of AI in automating data processes and the necessity of continuous monitoring and testing to ensure operational efficiency and reliability.

  continue reading

31 episodes

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