Technology and application of data warehouse and data mining are discussed.
对数据仓库和数据挖掘技术及其应用进行了讨论.
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Finally, three main applications of data warehouse are depicted in detail.
最后阐述了数据仓库的三大应用:灵活报表、OLAP分析、数据挖掘.
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And the traditional data warehouse primarily to be used by enterprises and research and development.
而传统的数据仓库主要是为了应用于企业而研发的.
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The development of data warehouse technology provides advantage for accomplishing this task.
数据仓库技术的发展为这一目标的达成提供了有利条件.
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Metadata is the soul of data warehouse.
元数据是数据仓库的灵魂.
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Meanwhile , we describe data organization data structure of web data warehouse and development of web technology.
同时对Web数据仓库的数据组织、结构及Web技术的发展进行了描述.
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As the base of decision, data warehouse should be analyzed by some powerful tools.
数据仓库是进行分析决策的基础,因而还必须有强有力的工具来做相关的分析.
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The basic concept of a data warehouse is the difference between data and information.
数据仓库的基本概念是数据和信息之间的差异.
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Data warehouse technique is the inexorable trend of the development of data technique.
数据仓库技术是数据库技术发展的必然.
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Click stream data warehouse is a facet of development of the technology of data warehouse.
点击流数据仓库是数据仓库技术发展的一个方面.
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The data mart is equally indispensables part in the data warehouse systems.
数据集市同样是数据仓库系统中不可缺少的组成部分.
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So data quality is where the shoe pinches of data warehouse build and run successfully.
因此数据质量是关系到数据仓库能否成功建立和良好运行的关键所在.
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The source of data is the data warehouse.
它的源数据来自于数据仓库.
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Theimportance of data warehouse and data mart is that It'supplies a dataenvironment for DSS.
数据仓库和数据集市重要性在于它给决策支持系统提供了一个数据环境,因而数据集市和数据仓库技术的重要性是显而易见的.
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This paper brings forward data warehouse ( DW ) according to technique development and business requirement.
本文从技术发展和商业需求两个方面,提出数据仓库出现的历史必然.
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The last part draws a conclusion and suggests further discussion on the data warehouse on web.
最后一章是对本文的总结并提出了对基于web方式的数据仓库需要进一步讨论的问题.
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The corporate data model is the secret to being able to build the data warehouse iteratively.
企业数据模型是如何迭代建立数据仓库的关键.
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Now the assistance decision support system mainly established with the data warehouse technology.
现在建立辅助决策支持系统主要是采用数据仓库技术.
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The technology of decision support includes Data Warehouse, OLAP On Line Analytical Processing and Data Mining.
决策支持技术主要包括数据仓库 、 OLAP( 联机分析处理)、数据挖掘三项.
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Besides to the bank data warehouse item implementation process also elaborated with the implementation means.
另外对银行数据仓库项目的实施过程和实施方法也进行了阐述.
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Chapter 2 introduces the method and procedure of design and realization data warehouse.
第2章论述和分析了数据仓库设计与实现的方法和步骤.
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The paper focuses on the design and implementation of Data warehouse about real estate market information.
本文以政府房管部门房地产市场信息数据仓库的设计与实现为研究课题.
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Data Warehouse and online analytical process ( OLAP ) are new technology in information technology.
数据仓库和联机分析处理 ( OLAP ) 技术是信息技术领域的新兴技术.
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Data warehouse is a new technology in information field which develops rapidly in recent years.
数据仓库是近年来信息领域中迅速兴起的一种技术.
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This paper presented the data warehouse bus architecture and a basic fact constellation model.
提出了客户数据仓库的总线架构和一个基本的事实星座模型.
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So number of electron data of telecommunication enterprise build data warehouse establishing the technological foundation.
因此,电信企业的大量的电子化数据为其建设数据仓库奠定了技术基础.
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In this paper, we design a data warehouse system structure aiming to mining enterprise.
本文针对矿山企业设计了数据仓库的技术体系结构.
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