摘要
目的/意义针对来源复杂、标准多样的多源多维大数据,提出不同业务应用场景的数据治理和融合技术。方法/过程以多源多维大数据融合在应对重大突发公共卫生事件的实践为例,重点阐述多源多维大数据融合面临的挑战、应用架构设计、技术集成、实施路径、应用场景等内容,分析应用效果和存在的不足。结果/结论通过智能化多源多维大数据融合技术的设计,实现对千亿级别高频次更新的实时监听、读取、治理和交互关联,探索有效应对突发公共应急事件的智慧化路径。
Purpose/Significance To propose data governance and fusion technologies for different business application scenarios for the fusion of multi-source and multi-dimensional big data with complex sources and diverse standards.Method/Process Taking the practice of multi-source and multi-dimensional big data fusion in responding to major public health emergencies as an example,the paper focuses on the challenges faced by multi-source and multi-dimensional big data fusion,the design of the application architecture,technology integration,the implementation path,the application scenarios,etc.,and analyzes the application effect and the deficiencies that exist.Result/Conclusion Through the design of intelligent multi-source and multi-dimensional big data fusion technology,real-time monitoring,reading,governance,and interactive correlation of high-frequency updates at 100 billion levels are realized,and intelligent paths are explored for effectively responding to public emergencies.
作者
李少琼
金丽珠
杜雪杰
郭青
LI Shaoqiong;JIN Lizhu;DU Xuejie;GUO Qing(Chinese Center for Disease Control and Prevention,Beijing 102206,China)
出处
《医学信息学杂志》
CAS
2024年第6期74-78,84,共6页
Journal of Medical Informatics
基金
广东省广州实验室应急攻关项目(项目编号:SRPG22-009)。
关键词
多源多维大数据融合
数据治理
卫生应急
multi-source and multi-dimensional big data integration
data governance
health emergency response
