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Episode 140:

Stream Processing for Machine Learning with Davor Bonaci of DataStax

May 31, 2023

This week on The Data Stack Show, Eric and Kostas chat with Davor Bonaci, the Executive VP at DataStax. During the episode, Davor discusses his journey in working stream processing at Goggle and his journey in founding Kaskada. The conversation also includes discussion on recommendation engines, how to improve stream and batch processing, what Kaskada is doing to solve key pain points in the space, democratizing and operationalizing ML, and more.

Notes:

Highlights from this week’s conversation include:

  • Davor’s journey from Google and what he was building there (3:32)
  • How work in stream processing changed Davor’s journey (5:10)
  • Analytical predictive models and infrastructure (9:39)
  • How Kaskada serves as a recommendation engine with data (14:05)
  • Kaskada’s user experience as an event processing platform (20:06)
  • Enhancing typical feature store architecture to achieve better results (23:34)
  • What is needed to improve stream and batch processes (27:39)
  • Using another syntax instead of SQL (36:44)
  • DataStax acquiring Kaskada and what will come from that merger (40:24)
  • Operationalizing and democratizing ML (47:54)
  • Final thoughts and takeaways (56:04) 

 

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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