Coalescing Data Marts

被引：0
|
作者：
Parimala, N. [1 ]
Pahwa, P. [2 ]
机构：
[1] Jawaharlal Nehru Univ, Delhi, India
[2] Guru Premsukh Memorial Coll engn, Delhi, India
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 16 | 2006年 / 16卷
关键词：
Data warehouse; Dimension; OLAP; Star Schema;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
OLAP uses multidimensional structures, to provide access to data for analysis. Traditionally, OLAP operations are more focused on retrieving data from a single data mart. An exception is the drill across operator. This, however, is restricted to retrieving facts on common dimensions of the multiple data marts. Our concern is to define further operations while retrieving data from multiple data marts. Towards this, we have defined six operations which coalesce data marts. While doing so we consider the common as well as the non-common dimensions of the data marts.
引用
收藏
页码：285 / +
页数：2
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