Database Field Mapping System for Multi-Source Search
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Solution Overview
Problem
Existing database search systems are limited in their ability to efficiently search and integrate data across multiple databases, lacking effective field mapping and data synchronization capabilities.
Innovation Solution
A system and method that utilize a mapping system to create algorithmic relationships between data fields across multiple databases, allowing for seamless data integration, synchronization, and enhanced search functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple databases are searched independently without field mapping, then each database can be searched using its native structure, but the system cannot efficiently integrate results or maintain data consistency across databases
Solution Approach 1:
The patent introduces a mapping system as an intermediary layer between multiple databases and the search interface. This mapping system creates field relationships that allow unified searching across databases without requiring changes to the underlying database structures. The mapping system translates search queries across different database schemas, enabling efficient multi-database searching while maintaining independence of individual databases.
Solution Approach 2:
The mapping system provides universal search capabilities across multiple databases through a single interface. By establishing field mappings between different databases, the system enables one search query to access data from multiple databases simultaneously, making the search system multi-functional without requiring separate search mechanisms for each database.
2Reliability
If field mappings are created between databases, then data integration and synchronization improve, but the complexity of establishing and maintaining mappings increases
Solution Approach 1:
The system performs preliminary field mapping between databases before actual search operations. By pre-establishing field relationships and mappings between different database schemas, the system prepares the integration framework in advance. This preliminary action enables seamless data integration during search operations without requiring complex real-time coordination between databases.
3Reliability
If changes are propagated across all mapped databases, then data consistency is maintained, but the time and resources required for synchronization increase
Solution Approach 1:
The mapping system segments the data propagation process by tracking which specific fields are mapped between databases. When a data change occurs in one database, the system identifies and propagates changes only to the specific mapped fields in other databases, rather than performing blanket synchronization across all databases. This segmented approach maintains data integrity while reducing unnecessary synchronization overhead.
Data Source
AI summary
A system for database access comprising a plurality of databases, each database having a plurality of defined data fields and a mapping system coupled to the plurality of databases, the mapping system configured to create an algorithmic relationship between a plurality of first fields of a plurality of first databases, and a corresponding field of a plurality of second fields of a plurality of second databases.