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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 Warehousing
Analytics Engineering
Data Architecture
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.

PublishesWeeklyEpisodes491Founded9 years ago
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Artwork for Data Engineering Podcast

Latest Episodes

Summary

In this crossover episode, Max Beauchemin explores how multiplayer, multi‑agent engineering is transforming the way individuals and teams build data and AI systems. He digs into the shifting boundary between data and AI engineering, the rise ... more

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Summary 

In this episode Preeti Somal, EVP of Engineering at Temporal, talks about the durable execution model and how it reshapes the way teams build reliable, stateful systems for data and AI. She explores Temporal’s code‑first programming model—wo... more

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Summary

In this episode of the Data Engineering Podcast Ariel Pohoryles, head of product marketing for Boomi's data management offerings, talks about a recent survey of 300 data leaders on how organizations are investing in data to scale AI. He share... more

YouTube

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

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Recent Guests

Preeti Somal
Runs engineering at Temporal Technologies, pioneers of durable execution
Temporal Technologies
Episode: State, Scale, and Signals: Rethinking Orchestration with Durable Execution
Ariel Pohoryles
Ariel leads product marketing for the data management offering of the Boomi platform and is an experienced data engineer with over 20 years in the data space.
Boomi
Episode: The AI Data Paradox: High Trust in Models, Low Trust in Data
Omri Lifshitz
Co-founder and CEO of Upriver
Upriver
Episode: Bridging the AI–Data Gap: Collect, Curate, Serve
Ido Bronstein
Co-founder and CEO of Upriver
Upriver
Episode: Bridging the AI–Data Gap: Collect, Curate, Serve
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
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

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 383 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 States2 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 States9 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
#169
United States/Technology
Apple Podcasts
#166
Canada/Technology
Apple Podcasts
#217
United Kingdom/Technology
Apple Podcasts
#247
France/Technology
Apple Podcasts
#36
India/Technology
Apple Podcasts
#63
Russia/Technology

Talking Points

Recent interactions between the hosts and their guests.

The AI Data Paradox: High Trust in Models, Low Trust in Data
Q: How are organizations thinking about addressing data quality and automation?
Only 42% of organizations have automated a data pipeline, highlighting a need for automation and better processing to manage data quality without sustaining heavy manual processes.
The AI Data Paradox: High Trust in Models, Low Trust in Data
Q: What are some key takeaways from the survey you conducted?
A surprising takeaway was the paradox where many data leaders consider themselves mature in data monitoring yet only 50% trust their data, indicating larger systemic issues.
Bridging the AI–Data Gap: Collect, Curate, Serve
Q: What are the main issues with AI-enabled data management?
The biggest gap is the ability to connect the different data management aspects, such as data quality, semantic layers, and orchestration processes.
Bridging the AI–Data Gap: Collect, Curate, Serve
Q: How do you ensure that the data is actually useful for an AI agent to perform a given task?
Organizations need to collect the right data, curate it accurately to capture its semantics, and serve it correctly to AI models.
Bridging the AI–Data Gap: Collect, Curate, Serve
Q: What are some of the challenges teams face when using AI in the production phase?
Teams struggle to manage errors and ensure data quality as they integrate AI into production processes, which leads to compounding error rates.

Audience Metrics

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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?

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

How many episodes of Data Engineering Podcast are there?

Data Engineering Podcast launched 9 years ago and published 491 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. Preeti Somal
2. Ariel Pohoryles
3. Omri Lifshitz
4. Ido Bronstein
5. Matt Topper
6. Kate Shaw
7. Brijesh Tripathi
8. Paul Groth

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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