Data Mesh

Data Mesh addresses the problem of scaling analytical and operational data ownership across organizational and domain boundaries.

Cohesive Formulation

Data Mesh can be expressed as ownership and projection-model boundaries:

Domain teams own data products as boundary-scoped observations or projection models.
Data products expose contracts for interpretation, freshness, lineage, access, and quality.
Consumers observe data through explicit boundaries rather than shared implicit databases.
Governance is policy over identities, access, lineage, retention, and quality.

In the Model

A data product is not merely a dataset. It is a boundary-specific observation surface with declared semantics, source relationships, reconstitution rules, policies, and operational guarantees.

Failure Modes

The practice fails when data products are just replicated tables without ownership, lineage, interpretation rules, freshness guarantees, or recovery semantics.