Logical data fabric and data mesh are two examples of technological advances that adhere to this emerging logical paradigm. They are both progressive, distributed approaches that rely on logically ...

Yet, it’s also vital to consider how Data Mesh stands to impact the business as a whole. The business does not care about where the data is or how it is made. The business cares about accelerating the ...

Other examples of data mesh implementation in the real world are: Gilead Sciences: a biopharmaceutical company that developed a data mesh architecture.

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 ...

This is why the 4 principles of a data mesh should help make better use of limited resources. The first two principles describe a multipurpose approach to data cleansing.

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

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.

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 ...

Centralizing all data in one place is still fraught with challenges -- now data mesh is turning decentralization into an advantage.

The global data mesh market is set for explosive growth, with projections indicating a surge to $4.27 billion by 2031. This remarkable expansion, driven by the growing demand for democratization ...