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基于OLAP的高校数据分析与决策支持系统研究
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  • 英文篇名:Research on university data analysis and decision-making support system based on OLAP
  • 作者:唐秀忠 ; 陈洪磊 ; 陆玉发
  • 英文作者:TANG Xiuzhong;CHEN Honglei;LU Yufa;School of Technology,Pu'er University;
  • 关键词:OLAP ; 数据分析 ; 决策支持 ; 联机分析 ; 多维引擎 ; 数据仓库
  • 英文关键词:OLAP;;data analysis;;decision-making support;;online analysis;;multidimensional engine;;data warehouse
  • 中文刊名:XDDJ
  • 英文刊名:Modern Electronics Technique
  • 机构:普洱学院理工学院;
  • 出版日期:2019-01-15 13:52
  • 出版单位:现代电子技术
  • 年:2019
  • 期:v.42;No.529
  • 基金:国家自然科学基金项目(31660170);; 云南省省院省校教育合作人文社会科学研究项目(SYSX201719);; 云南省哲学社会科学重大项目(ZDZZD201602);; 云南省教育厅科学研究项目(K2016027)~~
  • 语种:中文;
  • 页:XDDJ201902038
  • 页数:4
  • CN:02
  • ISSN:61-1224/TN
  • 分类号:163-166
摘要
基于Mahout的高校数据分析与决策支持系统,存在高校数据处理速率低、用户满意度差的弊端,设计基于OLAP的高校数据分析与决策支持系统,采用雪花模型根据不同主题设计数据仓库模块,缩短维表与反应表的连接用时,实现对高校数据仓库信息的高效查询处理;通过联机分析处理OLAP模块采用切片、切块、钻取和旋转操作实现面向高校数据的分析、归纳和总结;系统软件部分通过OLAP多维引擎,采用切片模块、立方体模块和表示模块将多维分析请求的分析结果以报表或图形的形式发送给用户,实现用户对高校数据分析与决策分析的需求。实验结果表明,所设计系统在更新关联内容用时、查看分析结果用时和文档导出用时均较短,且实际用户的满意度较高。
        Since the university data analysis and decision-making support system based on the Mahout has the disadvantages of low data processing rate and poor user satisfaction,a university data analysis and decision-making support system based on the OLAP is designed. The snowflake model is used to design the data warehouse module according to different topics,and reduce the time consumption of connection between dimension tables and the reaction table,so as to realize high-efficient query and processing of university data warehouse information. Analysis,induction and summarization of university data are realized by using the online analysis and processing module OLAP and performing operations of slicing,block cutting,drilling and rotation.In the software part of the system,the slicing module,cubic module and representation module are used to send the analysis result of the multidimensional analysis request to users in the form of report and graph by means of the OLAP multidimensional engine,so as to meet users′ needs of data analysis and decision-making analysis in colleges and universities. The experimental results show that the designed system has short time-consumption in associated content updating,analysis result query and file export,and a high actual user satisfaction.
引文
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