Organizations that are struggling to build data products in a controlled and repeatable fashion may want to keep an eye on Zhamak Dehghani’s startup Nextdata, which is currently developing software ...

“Data mesh is the concept of data-aligned data products,” Dehghani said in a ... fabric can reduce the time needed for integration design and deployment by 30% and cut maintenance overhead ...

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 ...

a “data mesh-native” toolset for decentralizing data at scale. At the core is the “data product container,” which is a new unit of data value that’s designed to be shared responsibly and ...

Dehghani elucidated four main components of the data mesh, including distributed domain-driven architectures, self-service platform design, data-as-a-product thinking, and data governance. When ...

The debate on what constitutes a data mesh rages on. Most agree that it is not a platform or a commercial off-the-shelf product and that it should make data more accessible, secure, discoverable, and ...

“However, with this rapid migration there were a lot of data design patterns involved which required ... The appeal of data mesh stems from “treating data as a product, which pushes data ownership ...

Data mesh arises from the concept of domain-driven design, which in turn informed ... virtualization to create unified and useful data products. A look at data fabric, mesh, and virtualization ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data mesh is compelling as it evolves our thinking so older approaches that might not ...

While both data mesh and data fabric rely on creating reusable data products, semantic technologies represent the ideal tool for crafting these data products. Semantic technologies, including a ...