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Artwork for Data Engineering Podcast

Data Engineering Podcast

Tobias Macey
Data Engineering
Machine Learning
Fintech
Generative AI
Cloud Computing
Data Governance
Data Management
Postgresql
Kafka
DBT
Database Performance
Software Engineering
Data Transfer
Query Optimization
Tabnine
Analytics Engineering
Data Architecture
Data Warehousing
Apache Kafka
AWS

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.

PublishesWeeklyEpisodes505Founded9 years ago
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Artwork for Data Engineering Podcast

Latest Episodes

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

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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

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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

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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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Recent Guests

Jamie Knowles
Product Director for ER Studio
ER Studio
Episode: From Models to Momentum: Uniting Architects and Engineers with ER/Studio
Ryan Hirsch
Product Marketing Manager for ER Studio
ER Studio
Episode: From Models to Momentum: Uniting Architects and Engineers with ER/Studio
Aman Agarwal
Founder of OpenLit, an AI engineering tool built on OpenTelemetry.
OpenLit
Episode: Prompt Management, Tracing, and Evals: The New Table Stakes for GenAI Ops
Kostas Pardalis
Founder of TypeDev, specialized in data infrastructure and AI applications.
TypeDev
Episode: Semantic Operators Meet Dataframes: Building Context for Agents with FENIC
Gautham Budati
Leader of data teams in ad agencies and startups, experienced in data analysis and automation.
Episode: Beyond Dashboards: How Data Teams Earn a Seat at the Table
Xinyu Zheng
Fifth year PhD student at Tsinghua University focusing on database systems and file formats
Tsinghua University
Episode: Unfreezing The Data Lake: The Future-Proof File Format
Suresh Srinivas
Co-founder of OpenMetadata and Collate, experienced in building data systems at Yahoo and Uber
OpenMetadata, Collate
Episode: From Context to Semantics: How Metadata Powers Agentic AI
Sriharsha Chintalapani
Co-founder and CTO of Collate, holds expertise in open-source data tools and metadata platforms
Collate
Episode: From Context to Semantics: How Metadata Powers Agentic AI
Max Beauchemin
Founder, Preset and Apache Airflow Contributor
Preset
Episode: Blurring Lines: Data, AI, and the New Playbook for Team Velocity

Host

Tobias Macey
Host of the show, providing insightful commentary and facilitating discussions with a variety of industry experts.

Reviews

4.6 out of 5 stars from 388 ratings
  • All of the episodes are promotions of tools

    No one absolutely no one goes in depth of anything in this podcast, everyone only come and talk about their tools.

    Apple Podcasts
    2
    masterbatters
    United States6 months ago
  • Great guests and topics

    Always worth listening to understand what problems people are dealing with and considering how I can apply these lessons to my data engineering.

    Apple Podcasts
    5
    Mbarton98
    United Statesa year ago
  • Azure

    I really enjoy this podcast and learn a lot from it. I wonder why none of data tools in Azure is never mentioned.

    Thanks

    Apple Podcasts
    4
    Fkn2013
    United States3 years ago
  • Very insightful podcast!

    When you are looking for more knowledge and clarity in the world of data engineering/management, then you have come to the right place.

    Apple Podcasts
    5
    More Than Engineering
    Philippines3 years ago
  • Interesting topics guests

    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.

    Apple Podcasts
    5
    Googleduser
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

There are mixed reviews regarding the episode length and audio quality.
Listeners appreciate the depth of the topics and the quality of guests featured.
Many listeners highlight the practical insights they gain from each episode.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#214
United States/Technology
Apple Podcasts
#169
France/Technology
Apple Podcasts
#247
Italy/Technology
Apple Podcasts
#52
Mexico/Technology
Apple Podcasts
#55
Taiwan/Technology
Apple Podcasts
#60
India/Technology

Talking Points

Recent interactions between the hosts and their guests.

From Models to Momentum: Uniting Architects and Engineers with ER/Studio
Q: And in terms of the interfaces and personas that you're focused on, how does bringing design upfront factor into the user experience?
Jamie explains the user interface emphasizes visual diagrams (ER diagrams) to convey meaning universally, mapping logical models to physical implementations and code, and ensuring architects and engineers can collaborate with a single source of truth.
From Models to Momentum: Uniting Architects and Engineers with ER/Studio
Q: So Jamie, can you start by introducing yourself?
Jamie Knowles introduces himself as the Product Director for ER Studio and describes the platform as an enterprise data modeling and architecture tool that aligns business definitions with technical implementations across systems.
Orion at Gravity: Trustworthy AI Analysts for the Enterprise
Q: What is the biggest gap in tooling today and how should organizations approach adopting this technology?
The speed of traditional data infrastructure is the bottleneck; organizations should not wait for perfect systems but start experimenting with AI-assisted data work to accelerate insight-to-action while progressively addressing performance and governance.
Orion at Gravity: Trustworthy AI Analysts for the Enterprise
Q: What failure modes have you encountered with agentic analytics and how do you build resilience into the system?
We manage context carefully to avoid context budget explosion, implement memory management and retrieval safeguards, and use feedback loops so that corrections and preferences of stakeholders are captured and reflected in future analyses, effectively reducing drift and improving reliability.
Orion at Gravity: Trustworthy AI Analysts for the Enterprise
Q: How has the concept of the semantic layer and semantic modeling informed the Orion product and its user experience?
The semantic layer is important but not sufficient; Orion reads existing models and metadata to form a hybrid knowledge base, while also incorporating business context so that governance and guardrails guide how AI analyzes and presents data to business users.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Data Engineering Podcast

What is Data Engineering Podcast about and what kind of topics does it cover?

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.

Where can I find podcast stats for Data Engineering Podcast?

Rephonic provides a wide range of podcast stats for Data Engineering Podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Data Engineering Podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Data Engineering Podcast get?

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Which podcasts are similar to Data Engineering Podcast?

These podcasts share a similar audience with Data Engineering Podcast:

1. Practical AI
2. HBR IdeaCast
3. Dwarkesh Podcast
4. In Good Company with Nicolai Tangen
5. Masters of Scale

How many episodes of Data Engineering Podcast are there?

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.

How do I contact Data Engineering Podcast?

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Where can I see ratings and reviews for Data Engineering Podcast?

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What guests have appeared on Data Engineering Podcast?

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

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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