Stay ConnectedI’m Joe Reis, co-author of Fundamentals of Data Engineering, creator of Mixed Model Arts, international speaker, and long-time observer of the tech industry’s favorite recurring mistakes.
Weekly broadcasts from somewhere on the road. Expect raw solo rants and long-form conversations with the engineers and leaders actually building things. I dive into data, AI, architecture, and career survival.
This podcast is invitation-only. Unsolicited guest pitches and PR outreach are not considered.
Copyright: © Joe Reis
Hanging out in Berlin right now. Re-read Peopleware (originally released in 1987), and it got me thinking about what hasn't changed in tech and data. Namely, we tend to rush through things in the name of productivity instead of focusing on quality. Will AI help this? Maybe and maybe not.
Lexi Pasi and I chat about symbolic logic in AI, building and managing data science teams, math, and the shapes of ML/AI problems. Lexi is one of my favorites to talk to because she's so left-field yet so effectively reasonable and logical (she does have a PhD in logic...). LinkedIn: https://www.linkedin.com/in/alexandrapasi/
I've been told that I "say the quiet parts out loud." It might be calling out "data science" and AI as overhyped, or anything else I've ranted about online over the years.
In this episode, I unpack what that means and why I do it.
Joseph Machado and I chat about teaching data engineering, trends in data engineering, and the state of data content and influencers.
LinkedIn: https://www.linkedin.com/in/josephmachado1991/
Website: https://www.startdataengineering.com/
Data can be a rough industry. Data professionals often feel alone and in need of someone to talk to. I've been hosting "data therapy" sessions for the last couple months. Here are my thoughts on them, and why I think they're critical to helping professionals feel heard and learn from others.
Join here: https://practicaldatamodeling.substack.com/
Paco Nathan and I chat about early chatbots, and all things AI, especially since the 1980s. We also riff on how we intersected in the early days of the Internet.
Paco is one of my faves, so expect him back for another interview soon.
X: https://twitter.com/pacoid
LinkedIn: https://www.linkedin.com/in/ceteri/
Shachar Meir joins me for a chat about the three missing ingredients in data, going out on your own, the state of the data industry, and much more.
LinkedIn: https://www.linkedin.com/in/shacharmeir/
Matthew Mullins joins me to chat about a recent "get off my lawn" post along the lines that a lot of things we're trying to reinvent in data have already been done, and we're generally overcomplicating the hell out of things. I agree with him. In this episode, we rant about a few of the topics in his post.
The post: https://www.linkedin.com/feed/update/urn:li:activity:7217116669188485121/
Lindsay Murphy joins me to chat about whether companies are ready for AI in their data and analytics workflows. The verdict - listen and find out more :)
Lindsay's LinkedIn: https://www.linkedin.com/in/lindsaymurphy4/
It's not enough to know or peddle one data modeling technique these days. That's like fighting in the UFC knowing only thumb-wrestling. The world is very complicated with respect to data. To be a data practitioner, you need to be awesome in not just one, but MANY data modeling techniques. This is what I call Mixed Model Arts, which will be discussed further soon. Anyway, don't be 1-dimensional. Know a lot about a lot.
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