Top Challenges in Data Mesh and How a Data Product Platform Resolves Them

The desire for more and better data encourages enterprises to elevate their management landscape, and data mesh is an integral addition to the stack. To put it simply, a mesh decentralizes the architecture and puts the domains in charge of the data capturing and sharing for the entire enterprise. The domain-driven design fits aptly in the hugely anticipated web 3.0. Add to it that the step ahead from traditional fabric solutions aims to bring down management costs, ensure faster streams, and ultimately think of data as a product.

Mesh, being a relatively newer concept, attracts challenges for the data teams and expects a more holistic approach. While it made it to the list of hot trends in data and analytics last year, the ongoing 2022 and the coming year will only scale its adoption.

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