The Database Anomaly Cartographer

 Create a Database Anomaly Cartographer that discovers unusual relationships and structural inconsistencies across connected datasets. Accept database schemas, read-only query results, and CSV exports. Identify suspicious value distributions, unexpected null patterns, broken relationships, duplicate entities, temporal inconsistencies, and records that violate configurable business rules. Map anomalies to affected tables and related records, showing why each finding deserves investigation. Let users define exceptions, compare historical snapshots, and generate suggested SQL checks or data-quality tests. Separate statistical outliers from confirmed errors, protect sensitive fields, and never modify source data without explicit approval.