Centralized Database Identifier Repository for Data Consistency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Large entities with multiple lines of business often face issues with duplicative data across disparate databases, leading to resource wastage, data inconsistencies, and slowed processing due to limited communication between databases.
Innovation Solution
An artificially-intelligent, continuously-updating centralized database identifier repository system that uses an AI module to identify and consolidate duplicate data, optimize database usage, and manage memory allocation based on utilization metrics, while maintaining data consistency and accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If databases are maintained separately across multiple lines of business, then each database can be independently managed and optimized, but duplicative data accumulates across databases
Solution Approach 1:
The patent implements a universal identifier repository that serves multiple databases across different lines of business. This centralized repository stores unique identifiers that can be referenced by any database, eliminating the need for each database to maintain its own complete copies of master data. The repository performs multiple functions including storing identifiers, tracking data locations, and providing reference points for data consolidation across the entire enterprise data ecosystem.
2Ease of operation
If duplicate data is maintained across multiple databases, then data is readily accessible from multiple locations, but data inconsistencies occur when updates are made in one location but not others
Solution Approach 1:
The patent introduces an intermediary identifier repository that sits between multiple databases and the data they share. Instead of databases directly containing duplicate copies of master data, they all reference identifiers stored in this intermediary repository. When data needs to be updated, the change is made in one location and the identifier reference ensures all other databases can access the updated version, maintaining consistency while preserving accessibility.
Solution Approach 2:
The system implements feedback mechanisms where the identifier repository tracks which databases contain references to each identifier and monitors data changes. This feedback information allows the system to automatically propagate updates to all databases that reference a given identifier, ensuring that data consistency is maintained across the distributed database environment through continuous monitoring and automated synchronization.
3Reliability
If multiple copies of the same data element are stored across databases, then data is redundant and provides backup capability, but system processing slows due to having to review and traverse multiple copies
Solution Approach 1:
The patent extracts the essential identifier information from multiple duplicate data copies and consolidates it into a single centralized repository. Instead of storing complete data elements in multiple databases, the system extracts unique identifiers and stores them centrally, while maintaining references in each database. This extraction reduces the amount of data that needs to be processed and traversed during system operations while preserving the ability to access data from multiple locations.
4Ease of operation
If duplicative data is maintained across databases, then data can be accessed from multiple locations, but time and resources are wasted maintaining the same data in more than one location
Solution Approach 1:
The patent uses a lightweight copying approach where instead of copying complete data elements across databases, only compact identifier references are copied and stored in the centralized repository. Each database maintains a reference to the identifier rather than a full copy of the data. This copying strategy enables multi-location access through identifier references while dramatically reducing the time and resources required for data maintenance, as updates only need to be made in one location.
Data Source
AI summary
A centralized database identifier repository may identify databases using a unique identifier, or key tag, for each database. Each identified database may include data relating to one or more specific data elements. The repository may include a variety of data elements. Each data element may be associated with one or more database keys. The repository may be a repository of reference pointers. The repository may facilitate data viewing and data retrieval. A requestor may search for a data element using the centralized repository. The repository may retrieve data relating to a specific data element, from all databases identified by unique identifiers, that include data relating to the data element. The databases' unique identifiers may be encrypted tokens.