The Joe Reis Show Live with Joe Reis - January 2026 AMA. Ontologies, Data Modeling, Data Engineering, and More
10 snips
Jan 3, 2026 In a lively AMA, listeners dive into the complexities of data modeling and the dangers of 'leaky abstractions' in AI tools. Joe discusses his upcoming book and the surprising connections between library science and ontologies. He emphasizes the need for engineers to understand systems rather than just push buttons. The conversation touches on real-world modeling failures and the evolving role of data engineering in a rapidly changing landscape. Joe also explores the implications of AI advancements on job security and the importance of accountability.
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Episode notes
Knowledge And Data Worlds Converge
- The biggest surprise in Joe Reis's book research was the convergence of knowledge (ontologies) and data modeling.
- He expects these traditionally separate worlds to merge and reshape data practice this year.
Model Wars Are Outdated
- Data modeling debates like Kimball vs. Inmon are relics; industry needs to combine approaches contextually.
- Joe Reis argues for pragmatic fusion rather than dogmatic adherence to one model.
Don't Be A Button Pusher
- Do not treat AI coding tools as a substitute for understanding underlying systems.
- Avoid becoming a glorified button pusher by learning the fundamentals and debugging what the tools produce.
