Summary

Data Fabric and Data Mesh are two separate but harmonious data architecture approaches. Both approaches represent sophisticated designs that speed up data delivery while ensuring data can be trusted and relied upon with the goal of extracting business value.

In this chapter, we highlighted how Data Mesh takes an organizational approach to managing data while Data Fabric takes a technical, metadata-driven approach. We identified how Data Fabric and Data Mesh focus on addressing data silos, data access bottlenecks, quality, security, and scalability issues. Both recognize the criticality of having strong Data Governance with embedded automation in the life cycle management of data. Data Fabric can be used together with Data Mesh to realize its core principles (domain ownership, data as a product, Self-Service data platform, and federated computational governance). We discussed how one approach does not need to be selected over the other. Both Data Fabric and Data Mesh can...