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为解决社会治理分布式数据集成复杂和数据分析可视性弱的问题,该文提出一种分布式数据集成及可视化应用方法。该方法基于大数据处理模式,将分散在不同网络路由的数据库数据接入、抽取和集成,进行挖掘分析,增强数据动态描述和Web可视化能力,提供面向服务的智慧化社会治理决策分析与应用。在此基础上设计开发了一个原型系统并进行了试用。实验结果表明:该方法提升了数据集成的实时性、安全性、准确性和数据分析的可视化,且比传统模式更加简化。
In order to solve the problem of complex integration of social governance distributed data and weak visibility of data analysis, this paper presents a distributed data integration and visualization application method. Based on the big data processing model, the method accesses, extracts and integrates the database data distributed over different network routes, performs mining analysis, enhances the data dynamic description and web visualization capabilities, and provides service-oriented intelligent social governance decision analysis and application. Based on this, a prototype system was designed and tested. Experimental results show that this method enhances the real-time, security, accuracy and data visualization of data integration, and is more simplified than the traditional model.