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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
Data Architecture
Analytics Engineering
Data Warehousing
AWS
Apache Kafka

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.

PublishesWeeklyEpisodes488Founded9 years ago
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EducationTechnology

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Artwork for Data Engineering Podcast

Latest Episodes

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

YouTube

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

YouTube

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

YouTube

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Recent Guests

Matt Topper
President of UberEther
UberEther
Episode: Beyond the Perimeter: Practical Patterns for Fine‑Grained Data Access
Kate Shaw
Senior Product Manager for Data and SLIM at SnapLogic. She leads strategy and delivery for modernization initiatives.
SnapLogic
Episode: The True Costs of Legacy Systems: Technical Debt, Risk, and Exit Strategies
Nick Schrock
CTO and founder of Dagster Labs
Dagster Labs
Episode: Context Engineering as a Discipline: Building Governed AI Analytics
Brijesh Tripathi
CEO of FlexAI
FlexAI
Episode: From GPUs-as-a-Service to Workloads-as-a-Service: Flex AI’s Path to High-Utilization AI Infra
Paul Groth
Professor at the University of Amsterdam, leading research on intelligent data engineering.
University of Amsterdam
Episode: From Academia to Industry: Bridging Data Engineering Challenges
Prashanth Rao
AI engineer at Kuzu and leads developer relations
Kuzu
Episode: High Performance And Low Overhead Graphs With KuzuDB
Lucas Thelosen
An experienced data analyst and AI engineer.
Gravity
Episode: Bridging Data and Decision-Making: AI's Role in Modern Analytics
Drew Gilson
AI and data analytics professional with extensive experience.
Gravity
Episode: Bridging Data and Decision-Making: AI's Role in Modern Analytics
Andy Warfield
Software engineer and team member at Amazon S3, specialized in cloud storage and data management solutions
Amazon
Episode: From Bits to Tables: The Evolution of S3 Storage

Host

Tobias Macey
Host of a podcast dedicated to exploring the tools, techniques, and challenges in data engineering.

Reviews

4.6 out of 5 stars from 377 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 Statesa month 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 States8 months 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.

Listeners appreciate the knowledgeable hosts and insightful discussions, which are often grounded in practical advice.
The engaging interviews with industry leaders are frequently highlighted as a strong point, bringing valuable perspectives on current challenges in the field.
Many find the podcast a great resource for keeping up with the evolving data engineering landscape and technologies.

Chart Rankings

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

Apple Podcasts
#151
United States/Technology
Apple Podcasts
#101
United Kingdom/Technology
Apple Podcasts
#49
Italy/Technology
Apple Podcasts
#65
India/Technology
Apple Podcasts
#95
Poland/Technology
Apple Podcasts
#101
Hong Kong/Technology

Talking Points

Recent interactions between the hosts and their guests.

Context Engineering as a Discipline: Building Governed AI Analytics
Q: What are some innovative uses of agentic capabilities you've seen?
Compass has been used effectively across various ops roles, showing high retention due to its powerful querying capabilities.
Context Engineering as a Discipline: Building Governed AI Analytics
Q: What is the scope and purpose of Compass?
Compass aims to redefine the relationship between data platform teams and stakeholders, facilitating real-time collaboration over mere self-service dashboards.
The True Costs of Legacy Systems: Technical Debt, Risk, and Exit Strategies
Q: What do you view as the criteria for when a given system transitions into that state of being legacy?
A system may be considered legacy when it stops being of value, when it becomes a risk blocking new IT innovations and is more of a burden than a benefit, often indicated by increased maintenance costs without corresponding returns.
The Data Model That Captures Your Business: Metric Trees Explained
Q: What are some of the challenges of defining genuine relationships between metrics?
It's key to express potential relationships as metrics, while recognizing the complexities and changing dynamics of those relationships in practice.
The Data Model That Captures Your Business: Metric Trees Explained
Q: Can you describe how the idea of metric trees fit into the current landscape of data sourcing and analytics?
Metric trees represent a framework that prioritizes business models and outcomes over raw data volume, allowing more effective integrations with diverse data sources.

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?

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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Which podcasts are similar to Data Engineering Podcast?

These podcasts share a similar audience with Data Engineering Podcast:

1. DataFramed
2. Talk Python To Me
3. Super Data Science: ML & AI Podcast with Jon Krohn
4. The Real Python Podcast
5. Software Engineering Daily

How many episodes of Data Engineering Podcast are there?

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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What guests have appeared on Data Engineering Podcast?

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

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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