Data mesh represents a paradigm shift in how organizations manage data. Here's what we've learned from implementing it at scale.
What is Data Mesh?
Data mesh is a decentralized approach to data architecture that treats data as a product, owned by domain teams who know it best.
The Four Principles
1. **Domain Ownership**: Data is owned by the teams that generate it 2. **Data as a Product**: Each domain treats its data offerings as products 3. **Self-Serve Platform**: A platform enables domains to manage their data independently 4. **Federated Governance**: Centralized standards with decentralized execution
Implementation Challenges
The biggest challenge isn't technology—it's organizational change. Teams need new skills and incentives to embrace data ownership.
Technology Choices
We've found success with data contracts, automated quality checks, and data catalogs that make discovering and using data easy.
Measuring Success
Track metrics like data product adoption, time to access new data sources, and data quality scores to measure progress.
Getting Started
Start with one or two domains that have clear ownership and motivated teams. Success breeds adoption.