The emerging data mesh architecture has the potential to keep AI and analytics projects moving forward even as data storage and processing continues to disperse far and wide. One independent backer of ...

In today's world, Narendra Reddy Mudiyala explores the frontier of enterprise-scale data evolution, presenting a compelling argument for the decentralized Data ...

The introduction and socialization of data mesh has caused practitioners, business technology executives and technologists to pause and ask some probing questions about the organization of their ...

Big data platform startup dbt Labs Inc. said today it’s reinvigorating its flagship dbt Cloud offering with new enhancements and capabilities that it says will enable every employee to ...

Image Credit: Zhamak Dehghani The data warehouse and data lake can still exist in this architecture, but they become just another node in the mesh, rather than a centralized monolith.

While the emerging constellation of next-generation data architectures-fabric, mesh, and cloud-is extremely appealing, it's still full of unknowns. ­These approaches present opportunities for greater ...

The data mesh is a new concept that’s emerging in big data circles. Similar in some respects to data fabrics, the data mesh provides a way to reconcile and hopefully overcome the challenges posed by ...

Modak recently enabled a Top 5 pharma company to productionize six domain data products within months, using cloud and data mesh architecture. The six domain data products are now accessible to ...

Data mesh inverts this model with domain-driven design and product thinking. Responsibilities are distributed to the people who are closest to the data.

With a data mesh architecture, data is guaranteed to be highly available, easily discoverable, secure and interoperable with the applications that depend on accessing it. How does a data mesh work?