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
Sometimes I feel like the data world is stuck in a world of tabular data (rows and columns). This has been the data world for decades. Let's think bigger. We've moved beyond data fitting into lakes.
With the capability of AI to unlock the power of unstructured data (audio, images, video), it's time to start thinking about data oceans...
Keith Belanger is an OG data modeling practitioner, having been in the game for decades.
We chat about a wide range of data modeling topics.
Keith brings a wealth of experience and a practical, no-nonsense perspective. If you're interested in data modeling, don't miss this!
LinkedIn: https://www.linkedin.com/in/krbelanger/
This morning, the Practical Data Modeling Community held its first group discussion (to be posted very soon). People from all sorts of organizations (biggest companies in the world, universities, small companies) discussed how the approach analytical data modeling.
My major takeaway - your mileage will vary. There's the ideal way of data modeling we're taught, and there's reality. Everyone's situation is different and there's no one-size-fits-all approach that will work for everyone.
The discussion was awesome, and we'll do it again soon. If you're not part of the Practical Data Modeling Community, please join here: https://practicaldatamodeling.substack.com/
Kishore Aradhya and I both teach, and we agree this is a very difficult landscape to determine what and how to teach. Against the backdrop of generative AI, we discuss the role of universities in teaching tech and data, the role of a teacher, how to teach data, and much more.
Toby Mao started his data tooling company, SQLMesh, in 2022, when investing in data tools was unfashionable. Yet, he's managed to get traction with SQLMesh and is on a mission to simplify data transformations and make data easier to work with. We also chat about experimentation best practices, which he learned at some of the biggest tech companies in the world. This is definitely a great episode if you're interested in startups, data tools, experiments, driving cars, and much more.
Matt Housley hangs out at my house, and we have a random chat about all sorts of stuff - fads in data, data and ML engineering, tech hubs, and more. If you want a glimpse into the sorts of chats that Matt and I have all the time, here you go.
There's an inverse relationship between the value you add and how much you need to tell people about it. If you're adding value, you'll know - you don't need to talk about it. You're doing it. Also, the same goes with "data." If you're putting "data" as the center of the conversation, you just lost the game.
Angel Narciso and I hung out at LEAP Riyadh, alongside 215K attendees (wtf?). We chat about all sorts of stuff in the data world, including some blunt convos on the modern data stack and AI, among other things.
I often get questions about how I write and advice on how one might go about becoming a "writer." In this episode, I talk a bit about my writing process and why you (yes you) should also write.
This will be the first in a few episodes and blog posts where I talk about the writing and content creation process, as I get a ton of questions about this. Thanks for your questions and support!
Jess Haberman and I chat about how to negotiate a book deal. She's been in publishing for ages and knows her stuff!
Also, I wish I had this episode handy while I was shopping around Fundamentals of Data Engineering, because Jess agreed to publish my book while she was at O'Reilly ;)
We also talk about how AI will change publishing.
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