摘要
如何更加有效地组织、处理海量数据是数据仓库研究的一个热点问题.本文对海量数据仓库的压缩进行了研究和探讨,提出了一种基于压缩的属性划分存储结构.利用对维属性文件进行编码,来压缩整个数据集合.分析表明该压缩方法与存储结构可以获得很高的数据压缩比和操作效率.
How to store and manage the massive data is a key issue for the research of data warehouses.This paper studies the compression problem on massive data warehouses,and a compressed attribute partition based storage structure for multidimensional data sets is proposed,which compresses the data set by using encoding method.The analysis shows that this method has high compressing ratio and can efficiently support data operations on the compressed data sets.
出处
《哈尔滨师范大学自然科学学报》
CAS
2007年第5期69-72,共4页
Natural Science Journal of Harbin Normal University
基金
黑龙江省自然科学基金资助(F0208)
关键词
压缩数据仓库
属性划分
属性编码
OLAP
Compressed data warehouses
Attribute transposition
Attribute encoding
OLAP
