数据仓库技术-------(外文翻译).doc

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数据仓库技术-------(外文翻译),the data warehouse says allthe data warehouse is an environment, not a product. it provides the decision that customer used for current history data supports, t...
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The data warehouse says all
The data warehouse is an environment, not a product. It provides the decision that customer used for current history data supports, these data is very difficult in traditional operation type database or can't get, say more tangibly, the data warehouse is a kind of system construction. Data warehouse than it customer relation the management is a concept that is been familiar with by person, it is 1991 the United States an information engineering learns what house W.H. Inmon Doctor put forward, its definition is" the data warehouse is a support decision the process faces to the topic of, gather of, at any time but change of, the last long data gathers".
The technique system construction of the data warehouse
The data of obtains mold piece: Used for obtaining the data from the source document with the source database, combine the proceeding sweep, delivering, adding it to data warehouse database inside.
• Data management mold piece: Used for the movement of the management data warehouse.
• Delivers mold piece: Used for the other warehouse in direction with assign the data warehouse data in the exterior system.
• The data is in the center a mold piece: The end customer in direction tool that used for the method provides the interview data warehouse database.
• Data interview mold piece: Used for providing the interview for the end customer of the business enterprise with the tool of the analysis data warehouse data.
• Design mold piece: Used for the design data warehouse database.
• Information catalogue mold piece: Used for governor to provide with the customer relevant saving contents in data warehouse data in the database with meaning information.
数据仓库概述
数据仓库是一个环境,而不是一件产品。它提供用户用于决策支持的当前历史数据,这些数据在传统的操作型数据库中很难或不能得到,更确切地说,数据仓库是一种体系结构。数据仓库较之客户关系管理是一个被人熟知的概念,它是1991年美国著名信息工程学家W.H.Inmon博士提出的,将其定义为 “数据仓库是支持决策过程的面向主题的、集成的、随时间而改变的、持久的数据集合”。
数据仓库的技术体系结构
•数据获取模块:用于从源文件和源数据库中获取数据,并进行清洁,传输,将它加到数据仓库数据库中。
•数据管理模块:用于管理数据仓库的运行。
•数据传递模块:用于向其他仓库和外部系统中分配数据仓库数据。
•中间件模块:用于向最终用户工具提供访问数据仓库数据库的方法。
•数据访问模块:用于为企业的最终用户提供访问和分析数据仓库数据的工具。
•设计模块:用于设计数据仓库数据库。
•信息目录模块:用于为管理者和用户提供有关存储在数据仓库数据库中的数据的内容和含义信息。