Real-Time De-Duplication Trigger Function for Database Systems
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Solution Overview
Problem
Conventional methods do not provide an efficient way to reconcile and automatically identify duplicative information stored in different database systems, requiring manual processes for comparison and importation, which can lead to outdated software and compatibility issues in enterprise environments.
Innovation Solution
Implementing a system that executes a trigger function to automatically compare data objects across database systems, generating feed items for users to indicate matches, and allowing real-time importation and de-duplication of data, thereby streamlining the process of identifying and managing duplicative records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes are used to compare and reconcile data objects across database systems, then data consistency can be achieved, but significant time commitments and manual effort are required
Solution Approach 1:
The system implements automated self-service de-duplication by executing trigger functions that automatically compare new data objects against existing ones across database systems. The trigger function performs real-time matching based on defined criteria and automatically generates feed items or merges records without requiring manual intervention, thereby maintaining data consistency while eliminating time-consuming manual processes.
Solution Approach 2:
The system performs preliminary de-duplication checks by executing trigger functions at the moment of data object creation or import. This preliminary action identifies and resolves duplicative records before they can cause data consistency issues, preventing problems rather than requiring later manual reconciliation efforts.
2Adaptability or versatility
If software is installed on in-house computer systems, then organization control over software is maintained, but installation and maintenance require significant resources and time
Solution Approach 1:
The patent introduces an intermediary automated de-duplication system that operates between multiple database systems. This intermediary trigger function performs real-time data comparison and reconciliation across distributed databases without requiring manual intervention at each system, thereby maintaining organizational control over data consistency while dramatically improving maintenance efficiency by eliminating the need for personnel to separately access and manage each computer system.
3Adaptability or versatility
If frequent upgrading is performed to maintain software compatibility, then software remains current, but different versions of the same software are used at different computer systems leading to compatibility problems
Solution Approach 1:
The system implements feedback mechanisms through automated trigger functions that continuously monitor and compare data objects across database systems. When duplicative records or version conflicts are detected, the system provides feedback through feed items that notify users and automatically initiate resolution processes, enabling real-time detection and correction of compatibility issues without manual version tracking.
4Measurement precision
If manual comparison processes are used to identify duplicative records, then data accuracy can be verified, but the process becomes outdated and inefficient
Solution Approach 1:
The patent replaces manual mechanical comparison processes with an automated electronic trigger function system. The trigger function automatically compares data objects across database systems using defined matching criteria, maintaining measurement precision through systematic comparison while dramatically improving productivity by eliminating manual verification steps and enabling real-time identification of duplicative records.
Data Source
AI summary
Disclosed are systems, apparatus, and methods for identifying and visualizing duplicative records via a social network. In various implementations, a first data object may be created and stored in a first database system, where the first data object includes a plurality of data fields capable of storing a plurality of data values. In some implementations, a trigger function may be executed in response to creating the first data object, where the trigger function causes one or more servers in a second database system to determine if one or more existing data objects stored in the second database system include one or more data values that match data values included in the first data object. In various implementations, feed items may be generated in response to determining that a match exists, where the feed items provide one or more users with an indication of the determined match.