数据管理方法及装置
By establishing a data quality monitoring system in the big data platform, monitoring and processing data that meets preset standards, the problems of few data layers and high stability risks are solved, and efficient and accurate multi-layer data management is achieved, which is suitable for large-scale data processing in the Hadoop environment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA EVERBRIGHT BANK
- Filing Date
- 2023-02-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies suffer from limited data layers, high data stability risks, limited data processing capabilities, insufficient data volume, limited data sources, and complex installation and configuration, failing to meet the data management needs of big data platforms.
By establishing a data quality monitoring system, the accuracy of data in the big data platform is monitored, and multi-layered data processing is performed only on data that meets preset data standards, including master data management, data development management, data standard management and dependency detection, to ensure data accuracy and agility.
It improves the accuracy and agility of data management, resolves the stability risks brought about by data cascading, and achieves efficient data processing and accurate data output under the big data platform.
Smart Images
Figure CN116089413B_ABST