
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 | 505 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyEducation | |||

Summary
In this episode of the Data Engineering Podcast, Lucas Thelosen and Drew Gilson, co-founders of Gravity, discuss their vision for agentic analytics in the enterprise, enabled by semantic layers and broader context engineering. They share the... more
Summary
In this episode of the Data Engineering Podcast, Jamie Knowles (Product Director) and Ryan Hirsch (Product Marketing Manager) discuss the importance of enterprise data modeling with ER/Studio. They highlight how clear, shared semantic models... more
Summary
In this episode of the Data Engineering Podcast, Vasilije "Vas" Markovich, founder of Cognee, discusses building agentic memory, a crucial aspect of artificial intelligence that enables systems to learn, adapt, and retain knowledge over time... more
Summary
In this episode of the Data Engineering Podcast, Aman Agarwal, creator of OpenLit, discusses the operational groundwork required to run LLM-powered applications reliably and cost-effectively. He highlights common blind spots that teams face,... 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.
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Listeners, social reach, demographics and more for this podcast.
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This show explores the multifaceted world of data engineering, featuring conversations that cover a wide range of topics such as data manipulation, automation, database management, and the challenges faced in modern data workflows. Listeners can expect insights from industry leaders, where the discussions often highlight innovative tools and methodologies that enhance data engineering practices. The involvement of various experts ensures that both the technical and strategic aspects of the field are addressed, making it suitable for professionals eager to understand the current landscape and future directions of data engineering.
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Data Engineering Podcast launched 9 years ago and published 505 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. Jamie Knowles
2. Ryan Hirsch
3. Aman Agarwal
4. Kostas Pardalis
5. Gautham Budati
6. Xinyu Zheng
7. Suresh Srinivas
8. Sriharsha Chintalapani
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