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
Jordan Morrow and I hung out at my house and chatted about all things data literacy, the great outdoors, and more. Enjoy!
What am I seeing in data engineering in 2024? Listen and find out.
Steve Nouri has a massive following on LinkedIn, travels the world speaking at conferences and advising companies, and most recently created a community - Generative AI, on LinkedIn. We chat about being an influencer, building and growing a community, and much more.
I often get some questions - What happened to data modeling? Where do I learn data modeling? Where the heck is your new book?
Well, at least some of your questions will be answered in this podcast.
I'm launching a new project called Practical Data Modeling on Substack. You'll get weekly articles, early chapters of my new data modeling book, community discussions, and much more.
Subscribe to Practical Data Modeling: https://practicaldatamodeling.substack.com/
It's that time of year - lots of predictions and resolutions. I rant about my thoughts on New Years predictions and resolutions, stuff I'm stoked on in 2024, and more.
I sincerely appreciate each and every one of you for your support. It means a ton.
Happy 2024!!!
Will Gaviria Rojas (co-founder of CoactiveAI) and I sit in a hotel bar and chat about the amazing world of unstructured data and AI. We chat about searching unstructured datasets (without metadata), the state of AI, and much more. Will is one of my favorite people in general, so I really enjoyed our chat. Enjoy!
What happens when AI can generate content about whatever - or whoever - whether it's true or not? Welcome to 2023 and beyond.
I think the Internet is about to become a sea of complete sh*t of uninteresting and inaccurate content. The value of most content on the Internet will be less than worthless.
What can content creators and authors do? I provide some ideas...
Just wrapped up a couple of days at the CDO/CAIO Summit in Boston. There are a lot of corporate mandates to "do AI", but also a disconnect in the support and empowerment required to succeed. I unpack some observations of this disconnect, and why it reminds of of the South Park Underpants Gnomes - "AI...?...Profit"
Eleanor Thompson is the most knowledgeable person I know on the topic of vendor partnerships. We dive into the details of what makes a great partnership, tips on starting a partner program, certifications, and much more.
Are you a technology or data vendor looking to start a partnership program, or improve your existing one? Or a consulting company looking to partner with a vendor? Having worked with many partners, I can tell you that partnerships have always had ups and downs. I wish I'd listened to this episode several years ago. Enjoy!
Ben Rogojan, aka Seattle Data Guy, needs no introduction. He's a force of nature in the data engineering content world.
We chat about his origin story (sort of like a superhero), content creation, consulting, cooking, and much more.
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