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 ...

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

By promoting data stewardship and ownership by domain experts, using a common set of tools and semantic definitions, your entire organization will be empowered to create data products at scale.

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 ...

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 ...

Zhamak Dehghani, Tareq Abedrabbo and Jacek Laskowski discuss the current challenges for building Modern Data Pipelines and applying Data Mesh in the real world, what the future looks like, and tools.

Databricks launches Lakehouse Federation to enhance cross-platform data query and governance in enterprise data infrastructure.

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.