Distributed Data Modeling
In the previous chapter, we explored the design of an organizational architecture that aligns with both the business strategy and the surrounding context to enable the adoption of the data-as-a-product paradigm effectively.
This chapter delves into the heart of data modeling within a modular, and often decentralized, architecture that revolves around data products. We begin by defining what a data model is at its core, identifying its components, and discussing why, in a data-product-centric architecture, intentional and explicit data modeling is essential. We will unpack the modeling process itself, breaking down its stages and key deliverables.
From there, we’ll explore various physical data modeling techniques, evaluating their strengths and limitations, and outlining how each can be applied within the distributed nature of a modern data-product-centric architecture. Finally, we will focus on conceptual data modeling, examining how these high...
