Three years ago Zhamak Dehghani (pictured) shook up the data management world with a radical new concept called a data mesh.Now the company she founded is bringing it to market as a product.

Data mesh supporters call these curated datasets data products. The output of a data fabric is a data product too, albeit it one at a higher level existent across an organization (instead of ...

Data Mesh Reimagines Business Possibilities. These are just a few examples from a handful of industries and application spaces. As Data Mesh interest and adoption grows, and more companies understand ...

In a data mesh, domains are represented by a node, which can be an operational data store (ODS), a data warehouse, or a data lake tailored to the domain’s requirements. Domains can ingest operational ...

As my friend Eric Broda explains in his data mesh architecture blog, “there is no single product that brings you the data mesh.” The best solution in my opinion is to connect to the practitioners.

Data mesh empowers enterprise AI by enabling secure, flexible access to domain-specific data, which is crucial for unlocking real business value from AI. Conversations about AI technology involve ...

“Data mesh is a decentralized model for data, where domain experts like product engineers or LLM specialists control and manage their own data,” says Ahsan Farooqi, global head of data and ...

It’s “code, data, and policy,” all rolled up together, she says. In the same way that peer-to-peer APIs and microservices freed application developers to work more efficiency but not at the expense of ...

If an organisation creates Customer 360 as a Data Product, and assigns a Product Owner to the same, the person will be accountable for responsible to manage the data content, quality, security ...

Data mesh is compelling as it evolves our thinking so older approaches that might not have worked in practice actually can work today. The biggest change is how we think about data: as a product ...