
This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.
| Publishes | Weekly | Episodes | 496 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | EducationTechnology | |||

Summary
In this episode Goutham Budati about his Data–Perspective–Action framework and how it empowers data teams to become true business partners. Gautham traces his path from automating Excel reports to leading high‑impact data organizations, then... more
Summary
In this episode PhD researcher Xinyu Zeng talks about F3, the “future-proof file format” designed to address today’s hardware realities and evolving workloads. He digs into the limitations of Parquet and ORC - especially CPU-bound decoding, ... more
Summary
In this episode Suresh Srinivas and Sriharsha Chintalapani explore how metadata platforms are evolving from human-centric catalogs into the foundational context layer for AI and agentic systems. They discuss the origins and growth of OpenMet... more
Summary
In this solo episode of the Data Engineering Podcast, host Tobias Macey reflects on how AI has transformed the practice and pace of data engineering over time. Starting from its origins in the Hadoop and cloud warehouse era, he explores the ... more
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No one absolutely no one goes in depth of anything in this podcast, everyone only come and talk about their tools.
Always worth listening to understand what problems people are dealing with and considering how I can apply these lessons to my data engineering.
I really enjoy this podcast and learn a lot from it. I wonder why none of data tools in Azure is never mentioned.
Thanks
When you are looking for more knowledge and clarity in the world of data engineering/management, then you have come to the right place.
Tobias does a great job covering the future of data engineering - practical tips, the future of the industry with the founders of new tools, and no-nonsense advice on how to build data pipelines, viz, and process that will scale.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
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Apple Podcasts | #35 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
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Focused on the intricate and often challenging aspects of data engineering, this show covers a broad range of topics including databases, workflows, automation, and data manipulation. It features conversations with leading experts who share insights into cutting-edge tools and practices that drive the field forward. Listeners can expect to gain practical knowledge and understand the difficulties faced by data engineers today, making it a valuable resource for both new and experienced professionals in the industry. The engaging discussions often explore the intersection of data engineering with AI and other emerging technologies, which is particularly appealing for those interested in the future of data management.
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Data Engineering Podcast launched 9 years ago and published 496 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Data Engineering Podcast include:
1. Xinyu Zheng
2. Suresh Srinivas
3. Sriharsha Chintalapani
4. Max Beauchemin
5. Preeti Somal
6. Ariel Pohoryles
7. Omri Lifshitz
8. Ido Bronstein
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