The Data Stack Show

Updated: 31 Mar 2025 • 434 episodes
datastackshow.com

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.

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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

3 min
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03:27
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Highlights from this week’s conversation include:AI in Transcription Services (1:11)The Future of AI Companies (5:09)Potential Risks of AI Tools (8:57)Learning vs. Dependency in Programming (10:17)The Journey of a Data Analyst (12:07)AI and Coding Skills (14:06)Abstraction in Data Tools (16:59)Data Design and AI (19:07

35 min
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35:42
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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

9 min
00:00
09:15
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Highlights from this week’s conversation include:Solomon’s Background and Journey in Data (0:38)The Importance of a Triple Threat Data Person (5:14)Sports Sponsorship Analysis at Nielsen (7:31)Challenges of Implementing AI in Business (11:09)Understanding Data Delivery Models (14:18)Innovating Data Delivery (17:38)Mode

57 min
00:00
57:35
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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

2 min
00:00
02:08
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Highlights from this week’s conversation include:Michael's Background and Journey in Data (0:24)Synthetic Data Challenges (1:49)Open Source Project Development (4:20)Founding Distributed Masonry (5:56)Acquisition by Confluent (7:27)Introduction to Shadow Traffic (10:57)Observations on Streaming Data (12:33)Importance o

48 min
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48:22
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