Data Mesh, discover this new paradigm, increasingly adopted by companies for its multiple advantages

Data is the backbone of any organization, and properly organizing and managing it is critical to ensuring its practical use. One way to organize and manage data is to use a Data Mesh architecture.

In the same way that software engineering teams have moved from monolithic applications to microservice architectures, the Data Mesh is, in many ways, the data platform version of microservices.

Data Mesh is a data architecture that simplifies collaboration and self-service.

This type of data platform architecture enables the ubiquity of data to be embraced through a self-service, domain-oriented approach.

Traditional monolithic data infrastructures combine data consumption, storage and transformation in a central data lake. This is not the case with the Data Mesh, within which each domain takes charge of its own data pipeline. A universal interoperability layer exploiting the same syntax and data standards enables data from different domains to be connected.

Defining this evolving paradigm

A Data Mesh is a type of data platform architecture. It takes into account the ubiquity of data in the enterprise by relying on domain-driven, self-service design…