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多维数据库的英文

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"多维数据库"怎么读用"多维数据库"造句

英文翻译手机手机版

  • mdd multi-dimensional database
  • multi-dimensional database

例句与用法

  • A data member contains the data value for its parent member , rather than the aggregated value for the parent s children
    多维数据库则不同,它是基于称为“多维数据集”的结构,如下图所示。
  • Use management studio to develop scripts for relational and multidimensional databases , and all types of queries
    使用management studio可以为关系数据库和多维数据库以及所有查询类型开发脚本。
  • You can use a sql server relational database , an analysis service multidimensional database , an oracle database , or any of the other supported data sources
    可以使用sql server关系数据库、 analysis service多维数据库、 oracle数据库或任何其他支持的数据源。
  • Report models use shared data sources , which are defined when the report model is defined . for more information about how to build report models , see
    每个报表模型都有一个对应的共享数据源,用于说明与sql server关系数据库或analysis services多维数据库的连接。
  • As the crm project does olap analysis on the base of multi - dimension database , and md database is built on the base of data warehouse , we firstly design data models for crm data warehouse , then design md databases in the light of olap analysis
    因为本人所从事的crm项目主要是基于多维数据库的olap分析,而多维数据库又是建立在数据仓库基础上,所以,我们首先设计crm数据仓库的数据模型,然后针对olap需要,设计了多维数据库。
  • The paper starts with the frame of data warehouse system , discusses the every part of the data warehouse , which includes the narrow data warehouse and the decision support application - olap and dm . olap is a kind of data analysis technology , including md - olap and rolap . dm deepens the data analysis , it automatically mines the interesting model hiding in mass data
    联机分析处理是一种数据分析技术,它可分为基于关系数据库olap ( rolap )和基于多维数据库的( md - olap ) 。数据挖掘是数据分析的深化,它可自动的挖掘出隐藏在大量数据中有趣的模式。
  • In the paper , the relative concepts such as association rule and principles are analysed and elaborated systematically , systemanalysis and design is achieved by using well - defined and great function uml and datamanaging of sytem is realized through vb6 . 0 to put the emplying knowledge out of the quantum datas , the paper also performs multidimension databases data forms on the support dicision layer
    论文中系统地分析并阐述了模型及关联规则等相关概念及原理,采用定义良好、功能强大的uml ( unifiedmodelinglanguage ,统一建模语言)进行系统分析和设计,并用visualbasic6 . 0实现了系统的数据管理,为了更好地利用模型技术和数据挖掘抽取大量数据中的隐含知识,本文对支持决策的数据实行了多维数据库数据组织形式。
  • Studying the logic & the physics of the data warehouse designs , including the data model analysis , multi - dimensional database design , the data warehouse parallel processing , partition etc . on the basis of overall situation , we put forward a kind of realize method , which from the data mart to the data warehouse in tax administration system
    研究了数据仓库的逻辑设计和物理设计,包括数据模型分析、多维数据库设计、数据仓库的并行处理、分区等。在全局观念的前提下,提出了一种税务系统从数据集市到数据仓库实现方法。
  • So the concepts of multidimensional database and multidimensional analysis are put forward , viz . on - line analytical process , it gives analyst , manager , or executor the ability of information access which is rapid , accordant and interactive from multi point of view . the information comes from original data , and can be catch on by consumer and really reflects the character of enterprise dimension
    因此提出了多维数据库和多维分析的概念,即联机分析处理( on - lineanalyticaiprocess ) ,它是使分析人员、管理人员或执行人员能够从多种角度,对从原始数据中转化出来的、能够真正为用户所理解的并真实反映企业维特性的信息进行快速、一致、交互地存取,从而获得对数据的更深入了解的一类软件技术。
  • At the same time , built the data warehouse system with the sale subjects as the example , built an many - dimensions database using the online analysis tool of microsoft sql sever . finally built a two linear forecasting models based on smoothing of time queue about analysis of sale trend , and verified the design analysis of this paper partly
    同时,建立了以商品销售主题为例的数据仓库系统;并借助microsoftsqlsever联机分析工具,建立了以商品分析主题为例的多维数据库,从不同视角展现不同汇总程度的数据;最后,建立了基于时间序列的二次指数平滑线性预测模型,进行商品销售趋势的分析,部分验证了本文的设计分析。
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