Let’s shift the discussion from analytical modeling to data management architectures that support generating and serving analytical data. In this section, we will discuss two common analytical data architectures: data warehouse and data lake. You will learn the basic working principles of each architecture, how they differ from each other, and the challenges of each approach. Knowledge of how the two architectures work will build the foundation for discussing the main topic of this chapter: the data mesh paradigm and its interplay with domain-driven design.