Developing a logical data lakehouse architecture

We have discussed a data lakehouse system context. Let's now get into developing a logical data lakehouse architecture. A logical architecture focuses on components that integrate to satisfy specific functional requirements (FRs) and non-functional requirements (NFRs). It is abstracted to a level that is technology-agnostic and focuses on component functionality. A logical architecture focuses on two kinds of requirements, as follows:

• An FR is a requirement that fulfills a specific business or domain-driven behavior. These kinds of requirements are driven by the tasks and the needs of a particular business function.
• An NFR is a requirement that specifies criteria that need to be fulfilled for the system to be helpful in that specific context. For example, a typical NFR includes the time a particular query is expected to complete, a requirement for data encryption, and so on.

A well-architected system ensures that...