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data warehouse and olap中文是什么意思

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用"data warehouse and olap"造句"data warehouse and olap"怎么读"data warehouse and olap" in a sentence

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  • 数据仓库技术与联机分析处理

例句与用法

  • Wang shan etc . , data warehousing and olap , 1998 . 6 , science press
    王珊等,数据仓库技术和联机分析处理1998 . 6科学出版社
  • Multidimensional data model is an important problem in the field of data warehouse and olap
    摘要多维数据模型是数据仓库和联机分析处理中的一个重要环节。
  • This tutorial introduces the basics of the db2 products and tools , along with the concepts of data warehousing and olap
    本教程介绍了db2产品和工具的基础知识,以及数据仓库和olap的概念。
  • The paper introduced the technologies , developing steps , skill points and implement methods based on data warehouse and olap according to taking part in analysis - type crm in insurance industry
    论文分别介绍了数据仓库和联机分析处理的概念与特点,并对企业信息门户和多层开发模式的优点进行了简要分析。
  • This tutorial introduces the basics of the db2 tools , and the concepts of data warehousing and olap . the material in this tutorial primarily covers the objectives in " section 1 . installation and planning "
    在此之后,您现有的developerworks中国会员id将不再有效,请您即刻申请新的ibm id ,以便获取您需要的产品及服务。
  • 3 ) the concept of data warehouse and olap technology are introduced , and the system structure of olam is built on olap and association rules mining algorithms . , and the system is implemented in air quality forecasting system
    3 )引入了数据仓库的概念和olap技术,以它们作为基础,结合关联规则挖掘算法,形成了olam的系统结构,并在空气质量预测系统中初步地实现。
  • During the last a few decades , the application of data warehouse and olap ( on - line analytical processing ) provided a better solution to the data explosion problem of the database field . data warehouse , instead a ready - made product ava ilable , is a method
    近十年来,数据仓库和基于数据仓库的olap ( on - lineanalyticalprocessing ) ,联机分析处理)应用技术的出现,为数据库领域解决信息爆炸问题提供了很好的途径。
  • This thesis studies the principle of ais , the types of its system structure and the key factors which affect its evolution , explains the necessity and feasibility of ais based on event approach , emphasizes how to use the entity - relation approach and the real ( r is for " resource " , e for " event " , a for " agent " , l for " location " ) semantic model to design the integrate event - driven database and expects intelligent decision support system ( idss ) , the application of data warehousing and olap technology in decision support system ( dss )
    文章的研究思路是:从会计信息系统体系结构的角度,研究系统体系结构的类型及其演变的主要影响因素。论述了基于事项会计的会计信息系统的现实必要性和技术可行性;重点研究了现代信息技术环境下,基于事项会计的会计信息系统体系结构、如何运用e - r概念模型与real业务过程语义模型分析和设计集成业务数据库、基于事项会计的会计信息系统原理和结构;并展望了数据仓库和olap联机分析处理技术在决策支持系统dss中的应用,即基于企业数据仓库的智能决策支持系统( idss )前沿研究。
  • It discuss how do we implement the decision - making support system by using data warehouse in the electronic government and deeply introduces the problem and the related technology when build the decision - making support system . this paper also studies the role of data warehouse and olap in the in the decision - making system . finally it introduces that all aspects of the web service technology backgrounds and displays applications of this technology in the data - transformation and client module . then discusses the advantage and disadvantage of the web service technology in this system
    本文以中国出口综合评价体系的建立和研究为基础,首先介绍了与此项目相关的技术背景和实施必要基础;然后介绍了基于ctpi的外贸业务分析决策系统的研制开发,给出基于数据仓库的外贸业务分析决策系统的体系结构,并介绍了系统各部分功能;讨论了在电子政务的建设中如何利用数据仓库来实施决策支持系统,详细介绍了本系统在实施决策支持过程中遇到了问题及所采用的相应的技术手段,研究了数据仓库、联机分析处理在对外贸业务分析决策系统中的应用;最后介绍了webservice技术背景的各个方面,以及该技术在本系统的数据转移和客户端模块中的应用,并分析了webservice技术在本系统实现过程的利弊。
  • The author have studied data warehouse and olap and data mining , then discussed the relevant concepts , development status , system structure and implementation in details ; meanwhile , through studying the data model of university enrollment examination , integrating with data obtaining technology , multidimensional modeling technology and olap in data warehouse , designed a data mart of university enrollment examination and thus developed a data analyzing system of university enrollment examination based on model supporting decision and olap and data mining
    本论文对数据仓库、联机分析处理和数据挖掘技术进行了研究,并详细介绍了有关的概念、发展状况、体系结构和实现手段;同时,通过对普通高校招生考试的数据模型进行研究,结合数据仓库中的数据获取技术、多维建模技术设计了一个以普通高校招生考试数据分析为主题的数据集市,并在此基础上综合运用联机分析处理技术、数据挖掘技术和模型辅助决策技术实现了一个招生考试数据分析系统。
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