Christophe Blefari and I chat about why teaching data engineering is so damn hard, how generative AI will change technology and data education, and more.

Site: https://www.blef.fr/

LinkedIn: https://www.linkedin.com/in/christopheblefari

Imagine you're dropped into the middle of a failed data project - no data team, no documentation, and other horrific things - and have to figure out a way to make it work. What would you do?

Gordon Wong and I chat about various aspects of how we'd handle this scenario.

Alex Freberg, aka Alex The Analyst, chats with me about playing the long game with content, empathizing with his audience, how he grew a massive YouTube following, his new Analyst Builder courses, and much more.

YouTube: https://www.youtube.com/@AlexTheAnalyst

LinkedIn: https://www.linkedin.com/in/alex-freberg/

Analyst Builder: https://www.analystbuilder.com/

Wendy Turner-Williams joins me to chat about her new project and communty, The Association.ai, unleashing generative AI in organizations, starting and building a community, and much more.

LinkedIn: https://www.linkedin.com/in/wendy-turner-williams-8b66039/

The Association: https://theassociation.ai/

My voice is sort of working, and I chat about Tristan Handy's article that raised quite a ruckus this week, "Is the "Modern Data Stack" Still a Useful Idea?"

In the end, the Modern Data Stack won - people use the cloud for analytics. And everything ends, so I'm excited for what's next.

Article: https://roundup.getdbt.com/p/is-the-modern-data-stack-still-a?r=oc02

Randy Bean and I discuss why generative AI is making companies more data-oriented, the latest Wave Stone Data and AI Leadership Executive Survey, his career and writing process and much more.

I consider Steve Hoberman to be one of the original data modelers, having practiced and taught data modeling since the 1990s. He also runs the venerable Technics Publications, which I consider the foremost publishers of data-oriented books.

Steve and I discuss data modeling's past, present, and future. If you're into data modeling, this is a must-listen. Enjoy!

Technics Publications: https://technicspub.com/

Steve Hoberman LinkedIn - https://www.linkedin.com/in/stevehoberman/

Andrew Meister and I chat about removing wasted notions and bad workflows, aka "clunk."

Today's rant is a random grab bag of stuff - my thoughts on Data Day Texas, updates to Practical Data Modeling, and more.

Roy Hasson and I chat about career progressions in data and technology, open table formats (Iceberg), and more.

Are your outputs generating the right outcomes? I'm in Austin for Data Day Texas, and I reflect on this topic via a conversation I had last night with Juan Sequeda, Tim Gasper, and Santona Tuli.

In 2024, outcomes will matter more than ever. What are you doing to drive the right outcomes for your organization?

Ari Kaplan (Head of Evangelism at Databricks) joins me to chat about all things data intelligence, data lakehouses, the role of evangelism in tech companies, automation, and much more.

I chat about my working (and evolving) definition of data modeling. In short, we need to move beyond a human-centric view of data modeling, as most data is consumed by machines.

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.

You may have heard of Live Action Role Playing (LARP), where people dress up like fantasy characters and sword fight in a park or a Wal Mart parking lot. Some data teams LARP too...

Data LARPs are a real thing, often identified by pretending to do "data stuff", while never actually pushing anything into production. Are you Data LARPing? If so, what can you do? Listen and find out.

Matt Harrison is the author of many of the most successful Python books, including Effective Pandas, Effective XGBoost, The Machine Learning Pocket Reference, and many more. I consider him the top author of Python books and content on the planet.

He stopped by my house to chat about self-publishing technical books, the pros and cons of using a publisher, book piracy, and much more. We both talk about our experiences as best-selling technical authors, and don't hold back in this wide ranging and very candid conversation. Enjoy!

Note - my audio got a bit clippy in spots. Sorry if I blew up your speaker.