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The Joe Reis Show

Joe Reis
The Joe Reis Show
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393 afleveringen

  • The Joe Reis Show

    The Database Is Not the Data Model

    16-07-2026 | 12 Min.
    A short rant based on my new article this week, "The Database Is Not the Data Model"
    "In discussions with data practitioners, I keep seeing the same confusion. Someone pulls up a DDL file, a folder of dbt or SQL, or an ERD reverse-engineered from a Postgres instance and says: “Here’s our data model.”
    Not to be pedantic, but that’s a schema. Schemas are great. But data modeling is more than just schema design."
    Let’s dive into the difference in this podcast and the article.
    Article: https://practicaldatamodeling.substack.com/p/the-database-is-not-the-data-model
  • The Joe Reis Show

    Why 80% of AI Projects Fail & How to Build an AI-First Company - Steve Brown (AI Futurist)

    16-07-2026 | 54 Min.
    In this episode, I chat with Steve Brown, an AI futurist, independent consultant, and former professional at Intel and Google DeepMind. Steve shares his insights on helping global leadership teams decode the future of artificial intelligence.
    We dive into the common pitfalls of corporate AI adoption, including why so many AI initiatives fail due to poor communication and a lack of cultural integration.
    Steve outlines a definitive three-step path to AI transformation, emphasizing the critical difference between 20th-century cost-cutting and 21st-century labor amplification. The conversation also explores how AI is reshaping middle management, the distinct differences between "AI-first" and "AI-native" businesses, and the staggering acceleration of physical AI and humanoid robotics.
  • The Joe Reis Show

    The Data Anarchy Tax: Why No One Owns Your Data

    10-07-2026 | 27 Min.
    In this Freestyle Friday episode, I break down results from the June 2026 Pulse Survey on organizational dysfunction among data engineers. I also dig into why data product ownership (or lack thereof) is one of the fundamental issues standing between companies and success with data and AI.
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    Sponsor: Fivetran
    With the rise of AI and agents, having centralized, trustworthy data is the absolute foundation for building tools and training models. Fivetran automates your data pipelines, removing the need to build fragile connectors so your data arrives clean and reliable. By handling the messy infrastructure behind the scenes, Fivetran allows your team to focus on building the future. Visit fivetran.com to learn more.
    -----------------------
    Sponsor: Revefi
    Save serious money on your cloud costs with Revefi’s new autonomous AI DBA, a tool built to handle the gritty reality of cloud data management so you can stop babysitting your infrastructure. Start saving money today at ⁠revefi.com/ai-dba
  • The Joe Reis Show

    How I'm Actually Using AI to Write a Book

    08-07-2026 | 21 Min.
    I walk through exactly how I use AI for idea generation, review, editing, and drafting on my upcoming book, Mixed Model Arts. This is also the first in a new Wednesday format where I answer listener questions about what I'm building.
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    Mixed Model Arts will be out soon. If you want to get a good deal on the e-book and on-demandcourse, please go to Practical Data Modeling.: https://practicaldatamodeling.substack.com/
  • The Joe Reis Show

    Is AI Replacing Data Engineers? - Kirill Bobrov (Luminousmen)

    07-07-2026 | 39 Min.
    Kirill Bobrov, a senior data engineer at Spotify and author of the blog Luminousmen, joins me to talk about his viral "Drunk Post" repost, whether the AI boom is real infrastructure or another bubble, why engineering judgment can't be automated away, and the process of writing a technical book on concurrency.
    Luminousmen: https://luminousmen.com/
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Over The Joe Reis Show
Twenty years in this industry and the hard parts still haven't changed. That's what this show is about. I'm Joe Reis. I co-wrote Fundamentals of Data Engineering, I teach data engineering around the world and on Coursera, and I've watched the same failures repeat for two decades with new logos bolted on. Each week I broadcast from wherever I happen to be. Solo rants. Long conversations with the people actually building things. Data engineering, architecture, AI, and how to survive a career in it. If you want the polished version, there are a thousand podcasts for that.
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