摘要
针对传统的关系数据库技术在处理海量数据事务上存在的处理速度慢和存储冗余量大的问题,结合支持决策分析的数据仓库的多维思想,提出了一种多维关系数据库模型。对新旧模型从时间复杂度和空间复杂度两个方面分别进行了理论推导,证实了新的多维关系数据库模型较传统的关系模型在时间和空间上都有了很大的提高,并用实验对该理论结果进行了验证,证明了新模型的可行性和优越性。
To solve the problem of slow processing speed and great redundancy of traditional relation database in handling mass data, based on multidimensional thought of data warehouse supporting decision analysis, a multidimensional relation database model is put forward. The time complications and space complications of the two models are deduced, and the experimental result shows that the multidimensional relation database model is better than the traditional relation model. The feasibility and superiority of the new model is proved.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第11期151-153,共3页
Computer Applications and Software
关键词
关系数据库
多维关系数据库
OLAP
数据仓库
Relation database Multidimensional relation database OLAP Data warehouse
