methodology

Data Mesh

Data Mesh is a decentralized sociotechnical approach to data architecture and organizational design that treats data as a product. It shifts from centralized data ownership to domain-oriented, self-serve data platforms, enabling scalable and agile data management in large organizations. The methodology emphasizes domain ownership, data as a product, self-serve infrastructure, and federated computational governance.

Also known as: DataMesh, Data-Mesh, Data Mesh Architecture, Decentralized Data Architecture, Domain-Oriented Data
🧊Why learn Data Mesh?

Developers should learn Data Mesh when working in large, complex organizations where centralized data teams create bottlenecks, slow innovation, and struggle with data quality and accessibility. It's particularly useful for microservices architectures, enabling teams to own their data products independently while maintaining interoperability through governance standards. Use cases include scaling data platforms in enterprises, improving data democratization, and aligning data management with domain-driven design principles.

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