摘要
数据仓库在决策支持系统(DSS)中起着核心作用,而要创建一个好的数据仓库,构造合适的数据粒度模型是要解决的一个重要问题.通过对数据粒度划分方法的分析,结合实例给出了一个划分粒度级别的新思路,提出了解决不同级别间数据查询效率的基本方法.
The kernel role it undertakes in decision supporting system （DSS） makes it quite important to establish a good data warehouse, and the classification of data granularities is crucial in the produce of establishing data warehouse. According to the analysis of classification of data granularities method, a new method of data granularities is given and provides a solution to improve the query efficiency between different classifications of data granularities.
出处
《阜阳师范学院学报（自然科学版）》
2006年第3期68-69,73,共3页
Journal of Fuyang Normal University(Natural Science)
关键词
决策支持系统
数据仓库
粒度
划分
DSS, Data warehouse, Granularities, classification
