摘要
根据中国邮政企业规模庞大、业务复杂、构建数据仓库复杂度高的情况,具体探讨邮政企业构建数据仓库中的ETL(Extraction,Transformation and Loading),数据建模和OLAP (Online Analysis Processing)等关键环节,提出可行的数据仓库构建方案．
Due to the fact that China Post is a large scale enterprise with highly complicated operation and its data warehouse is difficult to construct, the key technologies of building data warehouses such as Extraction, Transformation and Loading （ETL）, modeling and OLAP are discussed with the features of its operation and data. And a feasible data warehouse constructing solution is proposed.
出处
《计算机辅助工程》
2006年第2期55-58,共4页
Computer Aided Engineering
关键词
数据仓库
ETL
联机分析处理
邮政企业
data warehouse
extraction, transformation and loading （ETL）
online analysis processing （OLAP）
post enterprise
