Developing architecture principles
As seen in the preceding section, many components make up a data lakehouse architecture. A data lakehouse architecture needs to be governed by a set of architecture principles that ensure that the data lakehouse can meet its goal of being a flexible platform for AI and BI and being agile to cater to ever-changing requirements.
Architecture principles govern any architectural construct and define the underlying general rules and guidelines for use. We can tailor these principles as per the organization's requirements. However, five principles are sacrosanct. These are represented in the following diagram:
Figure 2.12 – Data lakehouse architecture principles
Disciplined at the core, flexible at the edges
The purpose of creating a new architecture paradigm is to be agile and innovative, yet it needs to be governed pragmatically. This balance is a fine line to tread. The first sacrosanct principle embodies...
