• There are two main parts of the reports component: the data warehouse and the reports engine.

    报表组件存在两个主要部分:数据仓库和报表引擎。

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  • Data warehouse and data mining techniques are key factors of decision supporting system.

    数据仓库和数据挖掘技术是决策支持系统的关键因素。

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  • This paper introduces the basic knowledge of data warehouse and its analytical tools: OLAP and data Mining.

    介绍了数据仓库的基础知识,以及相关的分析工具:OLAP和数据挖掘。

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  • We often hear the terms database, data warehouse and data mart, but the differences among them aren't always clear.

    我们常常听到数据库、数据仓库和数据集市这样的术语,但往往弄不清楚它们之间的差别。

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  • The system included ETL, data warehouse and OLAP display facing customer. At present the system has finished mostly.

    该系统包括ETL,数据仓库,OLAP前端展示,目前基本已经实现整个原型系统。

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  • Data partitioning provides many useful benefits, particularly when used in data warehouse and decision support environments.

    数据分区提供了许多有用的好处,特别是在数据仓库和决策支持环境中。

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  • Data warehouse and on-line analytical processing (OLAP) are the research emphases in the business data processing area.

    数据仓库和联机分析处理(LAP)当今商业数据处理领域的研究重点。

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  • You would prefer not to (or can't wait to) move performance data to a data warehouse and run queries and analytics against it.

    您肯定不希望(或无法等待)将性能数据移动到数据仓库,然后再对它运行查询和分析。

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  • Data warehouse and data marts are very similar technologies, say experts, but they usually service different types of clients.

    专家称,数据仓库和数据集市是非常相像的技术,但它们服务于不同类型的客户。

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  • Real-time data warehouse extends the application of traditional data warehouse and can support tactical queries for enterprise.

    实时数据仓库扩展了传统数据仓库的适用范围,能给企业提供关于日常战术操作的技术支持。

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  • He currently works at Broadwing Communications in Austin, Texas, working on a large data warehouse and related telecom applications.

    他现在Austin的Broadwing Communications,致力于大型数据仓库和相关通讯应用。

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  • By analyzing the concept and system frame of data warehouse and OLAP, describe one method for design and implementation of OLAP.

    通过对数据仓库和OLAP概念及体系结构的分析,描述了一种OLAP应用系统的设计方案,并介绍了它的具体实现方法。

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  • This article mainly studies the data warehouse and the technology structuring the telecom CRM system on the basis of data mining.

    本文主要研究在数据仓库和数据挖掘的基础上构建电信CRM系统的技术。

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  • In order to solve these problems, the dissertation studies data model of data warehouse and multidimensional computation in detail.

    为了解决上述问题,本论文深入地研究了数据仓库的数据模型以及多维计算。

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  • With Data Warehouse and Online Analytical Processing (OLAP), a Decision Support System for Foreign Investment Management is developed.

    综合应用数据仓库技术与联机分析处理技术开发了外资管理决策支持系统。

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  • The core of the solution is data warehouse and federation technology, meanwhile, the solution adopts some other relevant technologies.

    该方案以数据仓库与联邦等技术为核心,并结合其他相关技术共同实现。

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  • Introduces technology about data warehouse and on-line analysis and supplies a solution of decision support system based on education.

    介绍了数据仓库和联机分析处理,针对教育数据统计分析困难的现状提出了教育决策支持系统的一个解决方案。

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  • They can make the difference between a successful data warehouse and a "data garbage dump," where gigabytes of data are stored but unusable.

    这就区分了成功的数据仓库和“数据垃圾堆”,那里存储着大量的无用数据。

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  • MPP analytic database - Jaspersoft supports IBM's Netezza MPP analytic database data warehouse and soon will add commercial analysis support.

    MPP分析数据库——Jaspersoft支持IBM的Netezza MPP分析数据库数据仓库,不久还会提供商业的分析支持。

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  • The paper inquired into the characteristic, system architecture of spatial data warehouse and valued crop yield estimation methods we have now.

    为此,探讨了空间数据仓库的特征、体系结构,对现有农作物估产方法进行了评价。

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  • By the use of data warehouse and Online Analytical Processing (OLAP), a decision support system for foreign investment management was developed.

    综合应用数据仓库与联机分析处理技术开发了外资管理决策支持系统。

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  • The differences between Data Warehouse and Information Warehouse, and the purpose of establishing the Information Warehouse are discussed in this paper.

    本文讨论了数据仓库与信息仓库的区别,并说明建立信息仓库的目的。

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  • The author introduces the base technology for the implement of the BI system and data warehouse and mining respectively in the second and third chapter.

    第二章和第三章分别介绍了商业智能系统实现的技术基础:数据仓库和商业智能。

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  • This paper gives a comprehensive introduction about the basic ideas of data warehouse and data mining, key techniques, and the content of the main researches.

    对数据仓库和数据采掘的基本概念、关键技术以及主要研究内容作了一个综合性的介绍,并讨论了数据仓库和数据采掘相结合的特点和发展潜力。

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  • Alternative Storage is the set of devices used to cost-effectively store data warehouse and exploration warehouse data that is needed but not frequently accessed.

    替代存储是这样一套设备,通常被用来低成本且有效的存储数据仓库数据,同时能够探测和访问那些必要但是低访问率的数据仓库数据。

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  • The related research aspect includes data warehouse and data mining technologies, construction of CRM systems and design of more effective data mining algorithms.

    该领域包括对于数据仓库和数据挖掘技术的研究,CRM系统的构建,以及更加有效挖掘算法的设计等方面。

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  • Since data warehouse and data mart are interchangeable concepts in many situations, it is necessary to specify their definition based on the two-tiered warehouse model.

    因为数据仓库和数据集市在许多情形中是可以交换的概念,所以有必要基于两层的仓库模型指定它们的定义。

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  • The comprehensive integrated DSS, which composed of data warehouse and OLAP, data mining, model base and knowledge base system, is a more sophisticated form of DSS.

    将数据仓库、OLAP、数据挖掘、模型库、知识库系统结合起来形成的综合集成决策支持系统是更高形式的决策支持系统。

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  • Based on the strict concept of data warehouse, the relations between data warehouse and multi dimensional database and the performances of data warehouse are explained.

    在严格数据仓库概念基础上,说明了数据仓库与多维数据库之间关系及数据仓库的特性和优势。

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  • This arctical introduces the relevant knowledge of data warehouse and data mining, and gives a deep understanding of intense relation of data warehouse and data mining.

    本文简述了数据挖掘和数据仓库的相关知识,探讨了数据挖掘和数据仓库之间的紧密关系。

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