Data Fabric architecture layers
Data Fabric architecture follows the nine principles discussed in the previous section. These principles establish the bedrock for a Data Fabric architecture that addresses data silos, enables data democratization, and creates a connected and intelligent data ecosystem of trusted, secure, and reliable data that supports data producers and data consumers. In Chapter 1, Introducing Data Fabric, we discussed Data Fabric design as having three building blocks:
- Data Governance
- Data Integration
- Self-Service
Let’s represent these building blocks as layers in a Data Fabric architecture with specific responsibilities and supporting components:
- Data Governance enables active Metadata Management and automated life cycle governance. Its knowledge layer is represented by a Metadata Knowledge Graph.
- Data Integration handles inbound and outbound data management, data processing, and data engineering. This layer relies on active...
