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

The Data Stack Show

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4M ago 1:00:48

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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.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

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