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Episode 222:

The Future of Data Modeling: Breaking Free from Tables with Best-Selling Author, Joe Reis of Ternary Data

December 31, 2024

This week on The Data Stack Show, John is joined by the Cynical Data Guy (Matt Kelliher-Gibson) as the pair welcomes back Joe Reis to the show. Joe discusses his new book on data modeling and shares insights on the evolution of data modeling practices, emphasizing the need to understand various data types and use cases. The conversation explores challenges in data education, highlighting the limitations of traditional academic programs and the importance of foundational principles over specific tools. The group also delves into hiring practices, stressing the value of character and continuous learning. The episode concludes with reflections on the impact of AI, the future of data education, and more.

Notes:

Highlights from this week’s conversation include:

  • Joe’s Recent Projects and Work (0:55)
  • Joe’s New Book and Inspiration for Writing It (4:39)
  • Challenges in Data Education (7:00)
  • Internal Training Programs (10:02)
  • Creative Problem Solving (17:46)
  • Evaluating Candidates’ Skills (21:18)
  • Market Value and Career Growth (24:03)
  • AI’s Impact on Hiring (27:47)
  • Content Production and Quality (31:56)
  • The Evolution of AI and Data (34:00)
  • Challenges of Automation (36:12)
  • Convergence of Data Fields (40:26)
  • Shortcomings of Relational Models (42:09)
  • Inefficiencies of Poor Data Modeling (47:10)
  • Discussion on Resource Constraints (51:50)
  • The Role of Language Models (53:13)
  • AI in Migration Projects (57:00)
  • Joe’s Teaser for a New Project (59:05)  
  • Final Thoughts and Closing Remarks (1:00:07)

 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

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Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

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