Why Data Mesh?
Centralized data teams often become bottlenecks. Data Mesh distributes responsibility to domain teams, improving agility, quality, and accessibility.
“Data Mesh treats data as a product — empowering teams and reducing bottlenecks.”
— Viswa
— Viswa
Core Principles
- Domain Ownership: Each business domain owns its data end-to-end.
- Data as a Product: Data is discoverable, reliable, and documented like a product.
- Self-Serve Platform: Provide infrastructure so teams can access and share data easily.
- Federated Governance: Policies and standards are shared across domains, not enforced centrally.
Benefits
- Reduces central bottlenecks and accelerates innovation.
- Improves data quality and ownership accountability.
- Supports scalable and flexible architecture for analytics and ML.
- Enables teams to act independently while maintaining global standards.
Challenges
- Requires cultural change — teams must own their data responsibly.
- Needs a strong self-serve data platform.
- Complexity in federated governance and standardization.
- Not suitable for very small organizations with limited data volume.
Use Cases
- Large enterprises with multiple data-producing teams.
- Organizations scaling analytics, ML, or AI workloads.
- Teams needing rapid access to high-quality data without waiting for a central data team.
- Systems requiring domain-level accountability for data quality.