Data processing method and device, electronic equipment and readable medium
CN117520314BActive Publication Date: 2026-05-29ZHEJIANG CAINIAO SUPPLY CHAIN MANAGEMENT CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG CAINIAO SUPPLY CHAIN MANAGEMENT CO LTD
- Filing Date
- 2022-07-27
- Publication Date
- 2026-05-29
AI Technical Summary
Technical Problem
In existing technologies, data storage pressure and processing efficiency are relatively low, especially when performing full data association in big data scenarios, where processing pressure and efficiency issues are prominent.
Method used
By acquiring incremental data within the statistical period and dividing it according to transaction type, the active data table and the incremental data table are associated to generate the target data model, thus avoiding repeated queries and traversals of archived static data.
Benefits of technology
It significantly reduces the data storage and computation pressure during data processing, improves data processing efficiency, and enables real-time updates of data models and data association effects over long periods.
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Smart Images
Figure CN117520314B_ABST
Abstract
Embodiments of the present application provide a data processing method and device, electronic equipment and readable medium. The embodiments of the method comprise: obtaining incremental data generated in a current statistical period, dividing the incremental data according to transaction types to obtain incremental data tables corresponding to different transaction types respectively; obtaining an active data table, and performing data association between the active data table and each incremental data table, wherein the active data table comprises active data that has not been archived as of a starting time of the current statistical period; and generating a target data model based on the associated data and archived static data. This embodiment reduces the data storage pressure and computing pressure in the data processing process, and improves the data processing efficiency.
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