数据仓库的多维数据模型研究  

The Study of Multi-Dimension Data Model for Data Warehouse

作　　者：邵晓巍[1] 赵长安[1] 赵景珠[1] 邵长胜[1] 

机构地区：[1]哈尔滨工业大学航天学院,哈尔滨150001

出　　处：《计算机工程与应用》2004年第11期4-7,86,共5页Computer Engineering and Applications

基　　金：航天"十五"支撑技术预研;国家部委科技预研重点项目

摘　　要：作为数据仓库设计的核心和基础,数据模型的研究直接影响到决策支持技术的发展。该文首先在对OLAP的需要分析基础上,提出了研究数据模型应该满足的六点约束,并分析了现有模型的优缺点。然后,针对这六点约束,引进分维函数建立多维模型视图,利用聚集偏序集族定义维的结构,提出了一种多维数据模型,并给出了以OLAP操作为核心的操作代数。To be the ba si c and core accept of data warehouse designing,the study of data model is effec ting the development of decision support technology deeply.In this paper,base d on the necessary of OLAP,six constraints of data modeling are presented.Afte r analysing the existing data models,under these constrains,a new data model i s presented,which has data model view with partition function,and uses the agg regation function to support the complex multi hierarchies.Along with the model ,an associated algebra that includes a set of OLAP operations and supports comp lex aggregation is also presented.

关 键 词：多维数据模型 OLAP模型视图 聚集偏序 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]