Summary
A technical Data Fabric architecture is modular and composable of several tools and technologies. There are three logical layers in a Data Fabric architecture consisting of Data Governance, Data Integration, and Self-Service.
In this chapter, we reviewed capabilities and the kinds of tools that could be used to implement each layer in a Data Fabric architecture. We have also talked about the requirements and assumptions in two use cases: distributed data management via Data Mesh, and regulatory compliance. A reference architecture was presented that offers a point of view on how to apply both Data Fabric with Data Mesh architectures with a federated operational model. These architectures have similar objectives and call for similar capabilities where Data Fabric is active metadata-driven and takes a more technical approach when compared to Data Mesh, which is more organizationally driven.
In the next and last chapter, we will review industry best practices and recap...
