Kimball’s dimensional modeling is often dismissed as outdated, but what if it’s actually the secret to unlocking better outcomes in machine learning and data science? Join Patrick O’Halloran of WhereScape and Dave Langer, founder of Dave on Data, to explore how dimensional modeling remains a powerful and relevant approach for preparing data to train or input into machine learning models.
Discover how WhereScape’s automation platform simplifies the creation and management of dimensional models, enabling faster delivery, consistent precision, and built-in data governance.
We’ll discuss and 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.
Whether you’re building your first machine learning models or optimizing existing workflows, discover how combining proven methods with automation can simplify complexity and drive better results.
