DAO26: Mixed Model Arts - Data Modeling in the Age of AI

**This is Subscription-Only Content, It is NOT purchasable as a separate product**

For decades, data modeling has been stuck in rigid style wars such as Inmon vs Kimball, devs vs "data", etc. While practitioners argued, the world moved on.

Today, AI agents are first-class consumers of your data, bypassing traditional silos and stress-testing your systems harder than any human ever has.

Join bestselling author Joe Reis (Fundamentals of Data Engineering) as he introduces Mixed Model Arts (MMA), a practical, cross-disciplinary framework for building coherent data models that serve applications, analytics, and AI simultaneously.

Stop defending the dogma of yesterday, and start building a foundation for the future. No silver bullets, just battle-tested no-BS, first-principles thinking for the age of agentic data.

Spreaker
Joe Reis
Best-Selling Author | Global Keynote Speaker | Data Engineer & Architect | Professor | Podcaster | Advisor & Investor


Joe Reis is the best-selling co-author of O’Reilly’s Fundamentals of Data Engineering, author of Mixed Model Arts, and the creator of Practical Data Media, home to popular Substacks, podcasts, and a thriving data community.

With 25+ years in the data industry (and a self-described “recovering data scientist”), Joe delivers practical, no-BS talks on AI, data engineering, and data modeling worldwide. He also teaches the Data Engineering Professional Certificate on Coursera (with DeepLearning.ai and AWS), writes at Practical Data Modeling and joereis.substack.com, and hosts "The Joe Reis Show."

 

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