the most meaningful developments in contemporary data architecture aren’t the rising interest in the concepts of the data mesh or the data fabric. It’s actually the merging of these two ...

Understanding the distinctions between data fabric and mesh are also important before moving to this architecture. Data mesh is a highly decentralized, self-service architecture in which datasets are ...

The U.S. Army is currently working to implement its Unified Data Reference Architecture, which is designed to join a data mesh and data fabric in a way that would allow users to easily access ...

In an organization that has embraced data mesh architecture, domain-specific data is treated as a product owned by the teams relevant to those domains. “Data mesh empowers teams and treats data ...

Agentic Mesh Architecture: Automating The Entire Data Life Cycle Agentic mesh architecture takes automation a step further by enabling businesses to automate the full life cycle of data engineering.

However, the two have distinct footprints. Data mesh is a highly decentralized, self-service architecture in which datasets are managed or controlled by business units across enterprises. Data fabric ...

As companies continue to digitalise key areas of their business, they collect more and more data about their internal operations and their customers. Consequently, they want to use this data to ...

Data fabric or mesh architecture is a way to build links between all the services and microservices of an enterprise. A trusted data fabric is a distributed environment that connects all data ...

A Data Mesh architecture mandates a product thinking mindset, which gave rise to Data as a Product, the futuristic way to manage data. Data as products enabled organisations to empower the ...

Nextdata, a startup making it easier for enterprises to implement the data mesh architecture, today announced that it has raised $12 million in seed funding. Greycroft and Acrew Capital led the ...