Data Integration Offset Verification for Synchronization Integrity
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Solution Overview
Problem
Data synchronization failures in cross-platform data processing lead to incomplete data integration, resulting in errors and inaccurate analysis due to missing data during the synchronization process.
Innovation Solution
A data processing method that includes an additional step for synchronous data integrity verification after synchronization, where data offset is monitored to ensure data integrity before performing data integration, thereby preventing errors and ensuring timeliness and accuracy of data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data synchronization is performed without integrity verification, then processing speed is improved, but data completeness and reliability deteriorate
Solution Approach 1:
The patent applies preliminary action by performing data integrity verification (checking data offset) before proceeding with data integration. The system calculates the data offset between source data and synchronous data in advance, and only proceeds with integration when the offset is zero, ensuring data completeness before processing.
Solution Approach 2:
The patent implements feedback by continuously monitoring the data offset between source data and synchronous data. The system uses this feedback information to determine whether to proceed with data integration, creating a closed-loop control mechanism that ensures data reliability.
2Reliability
If data offset verification is added to the process, then data integrity is improved, but processing time increases
Solution Approach 1:
The patent replaces complex mechanical data comparison with a simplified mathematical calculation of data offset. Instead of comparing individual data records, the system calculates the offset value, which efficiently determines data integrity with minimal computational overhead.
3Productivity
If synchronous data with potential missing data is integrated, then processing efficiency is maintained, but data accuracy deteriorates
Solution Approach 1:
The patent applies preliminary anti-action by preventing the integration of incomplete data through offset verification. The system proactively identifies and blocks potentially erroneous data integration operations before they can affect data accuracy, rather than correcting errors after they occur.
Data Source
AI summary
A data processing method is disclosed, the method comprising: after data synchronization, obtaining data offset of synchronous data related to a data integration task to be performed, the data offset representing deviation of the synchronous data from corresponding source data; determining whether the synchronous data is complete based on the data offset; in response to the synchronous data being complete, performing the data integration task to the synchronous data.


