
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 | 488 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | EducationTechnology | |||

Summary
In this episode of the Data Engineering Podcast Omri Lifshitz (CTO) and Ido Bronstein (CEO) of Upriver talk about the growing gap between AI's demand for high-quality data and organizations' current data practices. They discuss why AI acceler... more
Summary
In this episode of the Data Engineering Podcast Matt Topper, president of UberEther, talks about the complex challenge of identity, credentials, and access control in modern data platforms. With the shift to composable ecosystems, integration... more
Summary
In this episode Kate Shaw, Senior Product Manager for Data and SLIM at SnapLogic, talks about the hidden and compounding costs of maintaining legacy systems—and practical strategies for modernization. She unpacks how “legacy” is less about ag... more
Summary
In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Nick Schrock, CTO and founder of Dagster Labs, to discuss Compass - a Slack-native, agentic analytics system designed to keep data teams connected with business ... 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 | #101 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
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The content primarily revolves around discussions that unveil the complexities of data engineering, focusing on the tools, methodologies, and emerging technologies that shape the field. Topics frequently explored include data analytics, database management, automation processes, and innovative frameworks such as Lakehouse architectures. The podcast features industry experts who share their insights on best practices, real-world challenges, and advancements in related technologies, making it a valuable resource for both seasoned professionals and newcomers in the data engineering space. Unique elements include a mix of academic perspectives and practical applications, offering listeners a comprehensive view of the evolving landscape of data ... more
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These podcasts share a similar audience with Data Engineering Podcast:
1. DataFramed
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4. The Real Python Podcast
5. Software Engineering Daily
Data Engineering Podcast launched 9 years ago and published 488 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. Matt Topper
2. Kate Shaw
3. Nick Schrock
4. Brijesh Tripathi
5. Paul Groth
6. Prashanth Rao
7. Lucas Thelosen
8. Drew Gilson
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