计算机与现代化

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智慧社保大数据分析平台构建

  

  1. (浙江医药高等专科学校,浙江宁波315100)
  • 收稿日期:2019-01-16 出版日期:2019-06-14 发布日期:2019-06-14
  • 作者简介:周天绮(1976-),男,浙江兰溪人,副教授,硕士,研究方向:大数据处理技术,医疗电子信息技术,E-mail: 772403505@qq.com; 朱超挺(1989-),男,讲师,博士,研究方向:3D打印; 石峰(1976-),男,副教授,硕士,研究方向:自动化控制。
  • 基金资助:
    浙江省人力资源和社会保障科学研究课题(2018004)

Construction of Wisdom Social Security Big Data Analysis Platform

  1. (Zhejiang Pharmaceutical College, Ningbo 315100, China)
  • Received:2019-01-16 Online:2019-06-14 Published:2019-06-14

摘要: 针对社保业务数据分散、大数据分析能力较低等问题,采用“云结构、积木式架构、容器技术、多级权限设计”构建智慧社保大数据分析平台的整体架构。该平台包含数据交换平台、基础计算平台、流程调度平台、管理分析平台和实时分析平台。采用OGG接口技术获取源系统中的增量数据,通过流程调度服务实现对各层数据和业务工作流的调用和管理。该平台已包括1960万人的基本信息,集成了社保的各项业务和服务,为“最多跑一次”助力。

关键词: 智慧社保, 大数据, 数据交换, 流程调度

Abstract: In view of the problems of decentralized data of social security business and low ability of big data analysis, the overall structure of wisdom social security big data analysis platform is constructed by adopting “cloud structure, building block architecture, container technology, multi-level authority design”. This platform includes a data exchange platform, a basic computing platform, a process scheduling platform, a management analysis platform, and a real-time analysis platform. The OGG interface technology is used to obtain the incremental data in the source system, and the process scheduling service is used to realize the call and management of the data and business workflow of each layer. The platform stores the basic information of 19.6 million people, and concentrates on the various businesses and services of social security, which boosts the “maximum run once”.

Key words:  wisdom social security, big data, data exchange, process scheduling

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