The Joe Reis Show

ChatGPT was the iPhone moment for AI, and things are moving insanely quickly. What do generative AI models mean for us, especially children, who are arguably the last of the Pre-AI generation? I dive into some thoughts this week about how we need to work alongside the machines, the impact of generative AI on kids, and so on. Buckle up. We are in for a very interesting next few years as we sort out where AI fits into our day-to-day lives. #data #datascience #dataengineering #chatgpt #ai ----------------------- 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/

Ryan Dolley and I chat about why BI needs to evolve, moving beyond dashboards, the impact of generative AI on analytics, SuperDataBros, and more. #data #analytics #businessintelligence #datascience ----------------------- 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/

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 #dataengineering #datamodel #data ----------------------- 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/

Data modeling expert Shane Gibson discusses making data modeling more accessible, the evolution past traditional models, enabling data mesh, integrating data analytics into agile practices, overcoming challenges in data mesh implementation, and empowering data teams through coaching and business strategy.

Dave Langer teaches data literacy with the world's most popular data tool - Excel. We chat about why Excel is awesome, ways to teach data to the masses, and much more. Dave Langer LinkedIn: https://www.linkedin.com/in/davelanger/ Dave on Data YouTube: https://www.youtube.com/@davidlanger8217 Website: https://www.daveondata.com/ ----------------------- 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/

Zach Wilson is one of my favorite people, and when we chat, it's total honesty and great vibes. In this episode, we discuss his transition from a staff data engineer at Airbnb to an entrepreneur (!), and we both talk about our experiences with ADHD, the data engineering field today, content creation, and a ton in between.  ----------------------- 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/

Chris Tabb (LEIT Data) and I hang out at my house and chat about data monetization and business value.  What the heck are those things? Good question. Listen and find out. LEIT Data: https://www.leit-data.com/ Chris Tabb: https://www.linkedin.com/in/chris-tabb-datatips/ ----------------------- 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/

The tech and data industry needs more candor. The point of this podcast is for me (and my guests) to rant about their opinions on the tech and data industry in a very honest way.