Is Kimball’s dimensional modeling outdated—or is it the missing link to better machine learning and data science outcomes?
In this on-demand session, Patrick O’Halloran of WhereScape and Dave Langer, founder of Dave on Data, explore how dimensional modeling remains a powerful and relevant approach for preparing data to train and input into machine learning models.
What You’ll Learn:
✅ Why dimensional modeling is still a practical choice for machine learning and data science-ready data
✅ How automation accelerates the design and delivery of dimensional models
✅ Real-world examples of using dimensional modeling to tackle data science challenges
See how WhereScape’s automation platform simplifies dimensional modeling—enabling faster delivery, consistent precision, and built-in data governance.
Whether you’re new to machine learning or optimizing existing workflows, discover how automation and proven modeling techniques can simplify complexity and drive better results.
🎥 Watch Now On-Demand!
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