There are a lot of terms flying around in the data world. Many organizations struggle to find ways of effectively tackling their insurmountable data growth where they want to be able to constructively derive insights and meet their digital transformation needs. Terms like data hubs, data mesh, data fabric, and data lakes have been thrown around in many organizational data architectures. However, many don't utilize the concept of linked data in most of their data architecture frameworks. A data fabric could be used to cover for the semantic knowledge graph that has a data centric view of the organization. And, a decentralized data hub could be extended from this to cover for business functions that form a connected linked data in the conceptual world of organizational web of data. Each business function can then serve, protect access, and make available to share queryable linked data internally within the organization. A further transposition could be made in the context of a focused data mesh that acts as a data as a product strategy for defining a more focused view for analytics and business intelligence requirements. Over time organizations form into internal abstractions of a linked data world across their business functions and have a very connected view of all things with a flexible control for governance and provenance.
