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.
Abstract
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 pa-per 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 intel-ligent paths are explored for effectively responding to public emergencies.
基金项目
广东省广州实验室应急攻关项目(SRPG22-009)
NETL
NSTL
万方数据