Graph is often used to link data assets and users, too. Momentum is building behind the data fabric concept as a way to simplify access to, and management of, data in an increasingly heterogenous ...

In one corner we have, Data Fabric, something Gartner calls the Future of Data Management. Thoughtworks, on the other, contends that Data Mesh is key to moving beyond a monolithic data lake.

Data fabric and data mesh approaches have bloomed in the enterprise space. Find out how they differ and what makes sense for you.

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn scattered data into a strategic advantage.

In data integration, data fabric is about eliminating human effort, while data mesh is about smarter and more efficient use of human effort.

When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.

Data lakes are great in theory, but their application in the real world often leaves the user wanting more. A data mesh is one approach to cleaning up chaos left by data lakes and the resulting swing ...

Data Mesh: Should you try this at home? Over the past year, few topics have drawn more discussion in the data world than data meshes. The question is whether data meshes are ready for prime time.

While the emerging constellation of next-generation data architectures-fabric, mesh, and cloud-is extremely appealing, it's still full of unknowns. ­These approaches present opportunities for greater ...

The data lakehouse, data fabric, and data mesh, are no longer just dreams shared by analysts at conference presentations. A new survey of more than 200 IT leaders by Unisphere Research, a division of ...