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The Data Stack Show
222: The Future of Data Modeling: Breaking Free from Tables with Best-Selling Author, Joe Reis of Ternary Data
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.
01:00:48
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Quick takeaways
- Data modeling is evolving from traditional tabular formats to effectively accommodate structured, semi-structured, and unstructured data types.
- A fundamental understanding of core principles in data science is crucial for preparing professionals for an ever-changing technological landscape.
Deep dives
The Evolution of Data Modeling
Data modeling has evolved beyond traditional tabular formats to accommodate diverse data types and use cases. The focus is shifting towards understanding how to effectively model structured, semi-structured, and unstructured data in contemporary settings, such as applications, analytics, and machine learning. This reflects a significant departure from the outdated notion that there is one definitive way to model data. Instead, practitioners are encouraged to adapt their approaches to meet the demands of a rapidly changing data landscape involving various modalities.
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