Exploring distributed physical modeling
In this section, we’ll dive into how to approach physical data modeling within an architecture centered on data products. Specifically, we’ll explore how to adapt widely used analytical data modeling techniques to fit modular and distributed environments. We won’t delve extensively into platform-specific modeling aspects (e.g., data lakes, data warehouses, data lakehouses, etc.), as the methodologies discussed here are broad enough to be easily applied across various major technology platforms.
Dimensional modeling
Dimensional modeling is a foundational technique for managing analytical data, first introduced in the early 2000s by Ralph Kimball and Margy Ross in their seminal work, The Data Warehouse Toolkit. This approach quickly became the gold standard for designing business intelligence and data warehousing systems, serving as a blueprint for countless implementations. Over time, the core principles of dimensional...
