canonical-schema-architect

To standardize data models for multi-source data ingestion, design a canonical schema that defines unified object models using Zod and JSON Schema. This creates a consistent format for integrating disparate sources, enabling unified reporting and consistent analysis.

Canonical schema design is the process of defining standardized object models and normalization rules to unify disparate data sources. You need it when integrating heterogeneous systems, such as ingesting findings from multiple security scanners, to ensure data consistency.

You normalize severity and status values by creating mapping tables that translate source-specific values into a consistent canonical format. This ensures ingested data adheres to a standardized representation regardless of its origin system.

Handle entity resolution by implementing deterministic ID generation and rules for deduplicating and merging overlapping data from different sources. This resolves duplicate records and maintains a single consistent source of truth across systems.

Yes, you can use Zod and JSON Schema to define versioned schemas. The skill establishes versioned schemas and backwards-compatible evolution policies, ensuring your canonical data model adapts safely without breaking existing integrations.

The best way to maintain backwards-compatible evolution policies is to establish versioned schemas using Zod and JSON Schema. This approach ensures your canonical data model evolves safely without breaking existing integrations or heterogeneous system connections.