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Episode 05:

Data Council Week: The Difference Between Data Platforms and ML Platforms With Michael Del Balso of Tecton

April 26, 2023

This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Michael Del Balso, Co-Founder and CEO of Tecton. During the episode, Michael talks about the company’s desire to provide customers the best feature engineering experience in the world. Topics in the conversation include MLops and data platforms, machine learning vs. data pipelines, the most difficult part in the life cycle of prediction, and more.

Notes:

Highlights from this week’s conversation include:

  • Michael’s journey to co-founding Tecton (0:22)
  • The evolution of MLops and platform teams (3:50)
  • Understanding boundaries between the data platform and the MLops (8:42)
  • Differences in machine learning vs data pipelines (16:58)
  • The systems needed to handle all these types of data (22:22)
  • Developer experience in Tecton (25:15)
  • Automating challenges in ML development (32:30)
  • The most difficult part of the life cycle of prediction (37:24)
  • Exciting new developments at Tecton (39:27)

 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

About the Podcast

Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.

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