Overview
Data Mesh is a socio-technical paradigm shift in how organizations manage data at scale. Instead of a centralized data lake or warehouse managed by a single team, Data Mesh distributes ownership to the teams that are closest to the data (the domain teams).
Four Core Principles
- Domain-Oriented Decentralized Data Ownership: Domain teams own and manage their own data.
- Data as a Product: Data is treated with the same rigor as any other product, with focus on usability and quality.
- Self-Serve Data Infrastructure as a Platform: A central team provides the tools and platform for domain teams to manage their data.
- Federated Computational Governance: Global standards and policies are applied automatically across the mesh.
Why Data Mesh?
It addresses the bottlenecks and scaling issues of centralized data architectures in large, complex organizations.