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 ...

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.

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 ...

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.

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 ...

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

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.

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