Data Fabric principles

Let’s start with the objectives of data architecture. It pivots on how IT is used to manage the life cycle of data. It addresses data from the point it is created, stored, transformed, cleansed, and consumed to its end of life. Data architecture is the foundation and strategy that provide the backing to achieve data-driven initiatives. So, what are the best practices and principles that make a good working data architecture? It will need to exhibit more positive trade-offs when it comes to architecture decisions than negatives, as called out by the authors of Software Architecture: The Hard Parts:

…least worst collection of trade-offs – no single architecture characteristics excels as it would alone, but the balance of all the competing architecture characteristics promote project success.

A best practice is to document architecture decisions both business and technical in the form of Architecture Decision Records (ADRs) (Source: Software...