For example, data mesh observes that today’s data pipeline teams lack context of the domain and that is problematic. So one would think domain awareness would be an appealing attribute.

A new era of data is upon us. The technology industry generally and the data business specifically are in a state of transition. Even our language reflects that. For example, we rarely use the ...

Using data meshes and fabrics When weighing the pros and cons, it’s important to keep in mind that data mesh and data fabric are concepts — not technologies — and aren’t mutually exclusive.

The concept of a data mesh provides new ways to address common problems around managing data at scale. Zhamak Dehghani has provided additional clarity around the four principles of a data mesh ...

Jeff Fried, director of product management at InterSystems, led the Data Summit session, 'Viewing Data Fabric and Data Mesh as Complementary,' to explore the ways in which data fabric and data mesh ...

This year, you won’t be able to escape the data mesh, one of the most disruptive trends currently operating in the data and analytics world.

Piethein Strengholt, author of Data Management at Scale, recently published an article presenting six data-mesh governance topologies and domain granularity. Each topology adapts the data mesh ...

Any organization that is serious about digital transformation should at least consider applying the data mesh’s four fundamental pillars.

Data mesh inverts this model with domain-driven design and product thinking. Responsibilities are distributed to the people who are closest to the data.

While a data mesh aims to solve many of the same problems as a data fabric–namely, the difficulty of managing data in a heterogenous data environment–it tackles the problem in a fundamentally ...