Data Mesh Architecture

Data mesh is a decentralized data architecture that treats data as a product, with domain teams owning their data products. Enterprises are adopting data mesh to address challenges of centralized data teams becoming bottlenecks, data silos, and the need for faster analytics delivery. The approach organizes data by business domain, with each domain responsible for its data products.

Financial institutions, retailers, and tech companies are implementing data mesh to scale analytics across large organizations. The architecture includes data product ownership, self-service data infrastructure, federated governance, and a data product marketplace. Teams can discover, access, and use data products from other domains while maintaining quality and governance standards.

At the Advanced Performance stage, data mesh has become a widely accepted and extensively used approach in large enterprises globally. It is now a common practice for organizations seeking to scale analytics beyond centralized architectures. The approach has matured with established patterns, tools, and governance frameworks. Success requires strong data culture, technical infrastructure, and organizational commitment to domain-oriented data ownership.