the diagram above shows the reference architecture used by this group at JPMorgan. It shows all the various AWS services and components that support their data mesh approach. Start with the ...

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 ...

successfully merging data mesh and data fabric requires a two-tiered architecture, Martin pointed out. The first tier—the data mesh—provisions and describes data, while the second tier—data ...

“What I often tell people when they’re looking at a traditional data initiative diagram is to lean back a little and ... And that’s where mesh data architecture looks to be the best solution because ...

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 ...

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 ...

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.

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 ...

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 ...