Data Validation System for Mixed Legacy and Modern Sources
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Solution Overview
Problem
Existing data stores face challenges in maintaining high data quality standards when integrating both low- and high-quality data, particularly when importing legacy data records that do not meet these standards, as enforcing strict validation rules can be costly or impractical.
Innovation Solution
A system and method that utilize multiple validation rules to assess data records from both legacy and modern sources, rejecting records that fail basic validation rules while allowing legacy records to be stored with indicators of non-compliance and ensuring modern records meet rigorous standards, thereby integrating diverse data sources effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If strict validation rules are enforced for all data records, then data quality standards are improved, but legacy data integration becomes impossible or expensive
Solution Approach 1:
The patent applies different validation rules to different data sources: modern data sources are subject to strict validation rules (first and second rules), while legacy data sources are subject to more lenient validation rules (first rule only). This local differentiation allows the system to maintain high data quality standards for modern data while enabling legacy data integration with minimal correction costs.
2Ease of manufacture
If legacy data records are imported without correction, then integration cost is reduced, but data quality standards deteriorate
Solution Approach 1:
The patent changes the validation parameter requirements based on the data source type. Legacy data sources are required to meet only the first validation rule (basic format validation), while modern data sources must meet both first and second validation rules (including referential integrity). This parameter differentiation enables legacy data import without costly corrections while maintaining acceptable quality thresholds.
3Manufacturing precision
If multiple validation rules are applied to all records, then data quality is improved, but processing complexity increases
Solution Approach 1:
The validation system applies different rule sets locally based on data source identification. When a record originates from a legacy data source, only the first validation rule is applied. When a record originates from a modern data source, both first and second validation rules are applied. This local application of validation rules reduces overall processing complexity compared to applying all rules universally.
4Stability of the object's composition
If legacy data sources are held to modern standards, then data quality uniformity is improved, but source system adaptability deteriorates
Solution Approach 1:
The patent changes the expected parameter compliance level based on the source system type. Legacy data sources are expected to comply with basic format validation (first rule), while modern data sources are expected to comply with both format validation and referential integrity (first and second rules). This parameter adaptation maintains data quality uniformity within each source category while preserving compatibility with diverse source systems.
Data Source
AI summary
The disclosed systems and methods may receive a data record from either a legacy data source or a modern data source and determine whether the record satisfies a first set of validation rules. When the record fails to satisfy the first set of rules, reject the record for storage in a data store. When the record satisfies the first set of rules, determine whether the record satisfies a second set of validation rules. When the record satisfies the second set of rules, store the record in the data store with an indicator that the record satisfies the all rules. When the record fails to satisfy the second set of rules, if the source was a modern data source reject the record, and if the source was a legacy data source store the record in the data store with an indicator that it fails to satisfy the second set of rules.