The introduction and socialization of data mesh has caused practitioners, business technology executives and technologists to pause and ask some probing questions about the organization of their ...

To achieve the promise of scale, along with quality and integrity, Dehghani lays out four principles of a data mesh: 1. Domain-oriented decentralized data ownership and architecture 2. Data as a ...

The coalescence of the data mesh and data fabric constructs into a single, binary-tiered architecture powered by semantic knowledge graphs yields distinct enterprise advantages.

New-age architectures like Data Mesh started gaining traction and is currently the buzzword in the data management world. A Data Mesh architecture mandates a product thinking mindset, which gave ...

Cloud-based data lakes are the biggest repositories of data today, but they’re not the only place where data lives. By following the precepts of the data mesh architecture, Starburst aims to unify ...

This data mesh architecture will make it quick and easy for data products to build on each other, the company said. Instead of business logic being centralized, teams will be able to make their ...

AI-driven automation is revolutionizing data engineering, enabling businesses to optimize, scale and enhance data ecosystems. Agentic mesh architecture can improve resilience and adaptability.

Moving to a data mesh architecture is a major shift that demands organizational and technological changes. But we can’t keep trying to do things the way they were done in 1978.

With a data mesh architecture, data is guaranteed to be highly available, easily discoverable, secure and interoperable with the applications that depend on accessing it.