Implements a reusable pattern for validating multiple JSON datasets against their corresponding schemas. The code iterates through data keys, validates each against its schema using AJV, and provides clear error reporting. This pattern is decoupled, easy to extract, and demonstrates solid data validation practices that could be applied to any JSON-based data project.

Provides a reusable framework for checking data integrity across different entity types, including duplicate detection and format validation. The code uses type-specific logic for different data structures (companies, appearances, GATT attributes) while maintaining a consistent verification interface. This pattern demonstrates good practices for ensuring data quality in multi-entity datasets.