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What happens when a best-selling author and "recovering data scientist" gets a microphone? This podcast.
I'm Joe Reis, and each week I broadcast from wherever I am in the world, sharing candid thoughts on the data, tech, and AI industry.
Sometimes it's a solo rant. Other times, I'm chatting with the smartest people I know.
If you're looking for an unfiltered perspective on the state of AI, data, and tech, you've found it.
Sessions & talks
Showing 26–34 of 34 · Newest first
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/
Is Kimball still relevant? Or should we just throw columnar storage and unlimited compute to solve our analytical needs?
Because I like to live on the edge, I respond to a comment online that I think highlights the rot in our industry as it relates to how we view data modeling today.
Data Modeling With Joe Reis - Understanding What Data Modeling Is And Where It's Going (Seattle Data Guy): https://www.youtube.com/watch?v=NKo02ThtAto
If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
Imagine two extremes. On one end, data modeling is done perfectly and harmoniously across the data lifecycle. On the other end, data modeling is ignored and thrown into the dustbin of history. Along this spectrum, where do you think we are as a data industry?
I'm leaving this question open-ended right for now and would appreciate your thoughts.
If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
I've spoken earlier about why I think data modeling is on life support, and if not dead, definitely a zombie. In this rant, I explore how we got here, the consequences, and what we can do to resurrect data modeling.
If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
The word "model" is used a lot by data professionals. There are dbt models, machine learning models, relational models, and conceptual, logical, and physical models. My concern is we're missing the bigger picture of what data modeling was initially supposed to accomplish, which was to represent reality and structure it as data. The bigger implication is that our various "models" will become too myopic and miss the larger broader context of the reality of how we use data to serve our organizations.
If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
George Park is a Czechia-based data engineer. We chat about automation, change management and culture, data modeling (Data Vault in particular), and much more. George lives on the front lines of helping customers, so this is a good discussion if you like to hear from a real practitioner.
George's LinkedIn: https://www.linkedin.com/in/george-park-599846136/
If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Subscribe to my Substack: https://joereis.substack.com/
John Giles is a legend in the data modeling world, having authored "Nimble Elephant" and "The Elephant in the Fridge," and written extensively on the topic. John and I discuss the power of using data model patterns, enterprise data modeling, "data town plans," and much more. It was an honor to chat with John, and I felt like I was conversing with someone who comes from a more advanced dimension than most data practitioners. You'll learn a ton from this discussion.
John's website: https://www.countrye.com.au/
Books: Nimble Elephant (https://www.amazon.com/Nimble-Elephant-Delivery-Pattern-based-Approach/dp/1935504258), The Elephant in the Fridge (https://www.amazon.com/Elephant-Fridge-Success-Building-Business-Centered/dp/1634624890)
LinkedIn: https://www.linkedin.com/in/john-giles-data/
Is data modeling on life support? I posed this question to LinkedIn earlier this week. It got a fair number of replies, some supportive and others saying I'm full of sh*t. In this 5 minute Friday nerdy rant, I unpack what I mean by data modeling being on life support, and where I think data modeling needs to go given newer practices like streaming and machine learning, which aren't currently discussed in data modeling circles.
LinkedIn post about data modeling on life support: https://www.linkedin.com/posts/josephreis_dataengineering-datamodeling-data-activity-7048722463010013185-OyIy
If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite bookseller.
Check out my substack: https://joereis.substack.com/
Shane Gibson joins the show to discuss how to make data modeling more accessible, why the world's moved past traditional data modeling, enabling data mesh, and more.
Shane's LinkedIn: https://www.linkedin.com/in/shagility/
Shagility: https://shagility.nz/
Shane's podcasts: https://shagility.nz/podcasts/
If you like this show, give it a 5-star rating on your favorite podcast platform.
Purchase Fundamentals of Data Engineering at your favorite book seller.
Check out my substack: https://joereis.substack.com/