Data Alignment Without Third-Party Server
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Solution Overview
Problem
Existing data alignment processes between different servers require a third-party server, increasing complexity and cost, especially when aligning large amounts of user data from multiple sources.
Innovation Solution
A data processing method and apparatus that determines a target storage area for first and second data using identification information, aligning data without a third-party server by ensuring the storage area codes match, thereby reducing workload and eliminating the need for external servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a third-party server is used to align data between different servers, then data alignment can be achieved, but system complexity and cost increase
Solution Approach 1:
The patent extracts and eliminates the third-party server from the data alignment system. By using identification information that is directly shared between the first and second devices, the system achieves data alignment without requiring an external intermediary server, thus reducing system complexity while maintaining alignment reliability
Solution Approach 2:
The patent replaces the third-party server with identification information acting as an intermediary. This identification information is stored in both the first device and second device, enabling direct data alignment through a shared reference rather than an external mediator, thereby reducing complexity
2Reliability
If a third-party server is used to align data between different servers, then data alignment can be achieved, but cost increases
Solution Approach 1:
The patent removes the costly third-party server infrastructure from the data alignment process. By utilizing identification information that is already present in both devices, the system eliminates the need for additional server infrastructure, reducing operational costs while maintaining data alignment capability
Solution Approach 2:
The first and second devices perform data alignment autonomously using their own stored identification information. This self-service approach eliminates the need to pay for third-party server resources, reducing costs while achieving reliable data alignment between the devices
3Reliability
If large amounts of user data are aligned from multiple sources, then comprehensive data alignment is achieved, but processing workload increases
Solution Approach 1:
The patent segments the data alignment process by using identification information as a key to organize and match data from multiple sources. This segmentation allows the system to process large amounts of data more efficiently by grouping records based on their identification information, reducing the overall processing workload while maintaining completeness
Data Source
AI summary
Disclosed in the embodiments of the present disclosure are a data processing method and apparatus, and an electronic device. A specific implementation of the method comprises: determining a target first storage region from among a preset number of first storage regions; on the basis of a interaction process with a second device, determining identical target identification information comprised in the target first storage region and a target second storage region, and determining whether the interaction process meets a target requirement; and in response to the interaction process meeting the target requirement, storing target first data identified by the target identification information, so that the second device stores target second data identified by the target identification information. Thus, the target first data and the target second data identified by the same target identification information in the target first storage region and the target second storage region are aligned.