A comparison of data warehousing methodologies

被引：61
|
作者：
Sen, A [1 ]
Sinha, AP
机构：
[1] Texas A&M Univ, Mays Business Sch, Dept Informat & Operat Management, College Stn, TX 77843 USA
[2] Univ Wisconsin, Sch Business Adm, Milwaukee, WI 53201 USA
来源：
COMMUNICATIONS OF THE ACM | 2005年 / 48卷 / 03期
关键词：
D O I：
10.1145/1047671.1047673
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The role of data warehousing in the integration process is discussed. Business requirements analysis, data design, architecture design, implementation and deployment are the common tasks methodologies which data warehousing. The data warehouse uses a meta-data repository to integrate all of its components. It is also observed that to use the infrastructure based methodologies, focus must be on the infrastructure of the data warehouse such as metadata or cube design.
引用
收藏
页码：79 / 84
页数：6
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