首页 | 本学科首页   官方微博 | 高级检索  
     

基于发布/订阅技术的数据抽取
引用本文:朱国强,刘厚泉.基于发布/订阅技术的数据抽取[J].微计算机信息,2007,23(21):224-225,233.
作者姓名:朱国强  刘厚泉
作者单位:221006,江苏徐州,中国矿业大学,计算机学院,计算机系
摘    要:随着信息技术的发展和企业管理水平的提高,企业信息系统整合的需求越来越强烈.数据中心正是企业数据整合,建立科学决策的基础.在数据中心的建立过程中,数据抽取是必不可少的,最重要的环节.基于发布/订阅的抽取方法可以降低数据源和数据中心的耦合度,使系统具有较高灵活性、动态性,可以满足时时和大规模数据抽取的需要.

关 键 词:数据中心  数据抽取  发布  订阅
文章编号:1008-0570(2007)07-3-0224-02
修稿时间:2007-05-032007-06-05

Data Extract Based on Publish/Subscribe
ZHU GUOQIANG,LIU HOUQUAN.Data Extract Based on Publish/Subscribe[J].Control & Automation,2007,23(21):224-225,233.
Authors:ZHU GUOQIANG  LIU HOUQUAN
Affiliation:Department of computer Science, College of computer Science, China University of Mining and Technology, XuZhou JiangSu 221006, China
Abstract:With the development of information technology and the improvement of enterprise manage level, the integrate needs of enterprise information system are more intense. Data center is the base of data integration and scientific decision. In the process of the building data center, data extract is the absolutely necessarily and most important process. The new method, publish/subscribe, can reduce the coupling between source data and data center, and make the system more flexible and more dynamic. At the same time, the method can meet the need of moment and large-scale data extract.
Keywords:data center  data extract  publish  subscribe
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号