The Data Stack Show 222: The Future of Data Modeling: Breaking Free from Tables with Best-Selling Author, Joe Reis of Ternary Data
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Dec 31, 2024 In a lively conversation, guest Joe Reis, a best-selling author and data modeling expert, delves into modern data approaches that break away from traditional tabular models. He shares insights on the shortcomings of relational models and the impact of AI on hiring practices. Joe also highlights the pressing need for practical data education that aligns with industry demands. Expect a humorous touch as he discusses innovative projects and the importance of adaptability in the rapidly evolving tech landscape.
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Masters Programs
- After interviewing many data analyst candidates, Matt Housley prioritized those without master's degrees.
- The applied master's programs often taught outdated or impractical information, requiring extensive "unteaching."
Hiring for Character
- Prioritize aptitude, character, and continuous learning ability over credentials when hiring.
- Evaluate candidates' social media presence and conversation topics to gauge their motivations.
Backchanneling References
- Matt Housley distrusts formal references due to their ease of manipulation.
- Instead, he leverages his network for candid assessments of potential hires, sometimes uncovering critical information.
