Data mesh is a modern approach to data management where data responsibility is distributed among individual business teams, rather than being centralized in a single IT department. Each area of the organization manages its own data as a “product,” ensuring its quality, availability, and timeliness.
Data mesh is based on several key principles:
- decentralized data management,
- treating data as a product,
- self-service data access,
- common data governance standards,
- greater responsibility of business teams for data quality.
The data mesh model helps companies scale analytics faster and better utilize data in large organizations with many systems and teams. This makes data easier to find, more organized, and better aligned with business needs.