Firstly , it indicates the flaws of the current database system , introduces the concept of data warehouse , and shows the existing drawbacks of data system of telecommunication field . secondly , it designs architecture of a data warehouse used in telecommunication field and introduces related data warehouse knowledge . thirdly , it compares several olap models , designs olap model of the architecture and designs a set of analysis methods of the model 文中首先分析了事务处理环境存在的问题，引入了数据仓库概念，并指出了当前电信领域数据库系统存在的问题；随后设计了一个应用于电信领域的数据仓库系统结构并介绍了相关的数据仓库知识；然后介绍并对比了几种不同的联机分析处理（ olap ）模型，完成了对该系统的olap模块的结构设计并给出了一套该系统olap模块的分析方法。
In this paper , firstly , the technical specialty and design method of data warehouse are expatiated on . the trait of current modeling and etl tools of data warehouse having been analyzed , the qwdw metl tool is brought forward whose realization process is described detailedly 本文阐述了数据仓库系统的技术特点和开发方法，分析了当前的数据仓库建模工具与etl工具的特点，提出结合两种工具为一体的思路，给出侨务数据仓库metl工具的设计思想，并介绍了其详细的设计与实现过程。
Data warehouse is a hot research area in 90s its main motif is to provide the decision - maker a powerful tool : gathering the data in pure consistent , relevant pattern , and making use of the data in managing analyzing , data - mining purposec that means that the decision - maker can use the tool to understand , grasp the situation of the business from different directions and forecast the future of it when using data warehouse , the processing speed determines data warehouse ' s practicability and processing ability the hoc ( highway decision center ) system realized before solves some key problems about intermediate scale data , mainly concentrating data warehouse performance coefficient when using hdc in large scale data , it encountered processing speed problem then the settlement of this problem becomes a major research point so , based on the former research achievements , the present task is to construct the renowned data warehouse architecture and its relevant algorithms , then adapts the system to the large scale dataset with data mining functions c this paper is a part of the research in order to construct the powerful system , a key problem is to cope with the processing - speed problem and the data space problem , etc , - caused by the large scale dataset and magnificent dataset this is also the core in the present data mining research this paper ' s motive is to design and realize a decision - tree classifier in the data warehouse system for large - scale dataset 大型数据仓库的处理速度问题目前是制约其推广应用的关键所在，也是这一领域的一个重要研究课题，也正是我们当前工作的重点：在前期研究工作的基础上围绕提高大型数据仓库处理速度问题，建立改进的数据仓库系统模型和相关算法，开发出面向中级以上企事业单位的、具有数据挖掘和分析能力的大型数据仓库系统。建立大型数据仓库所面临的关键问题，是如何妥善解决实际业务数据的大规模、海量特征所带来的处理速度和空间等问题，这也是当前挖掘技术研究必然面对的核心问题。本研究的目的是设计并实现大型数据仓库系统中的分类数据挖掘工具? ?决策树分类器，主要工作是在综合了解现有决策树分类算法的研究情况的前提下，对决策树算法适应大规模数据集的问题进行探讨，力求设计出能较好地适应大规模数据的分类器算法。
It links the features of hao liang he cement co . ltd and set an example as how data warehouse applies to sales profit aims and dss . it brings out a solution to dss according to data warehouse technology , in the same time states design and process of data warehouse system , discusses how to realize data analyses of data warehouse system through online management and number - digging skills . and it demonstrates the necessary and possibility of dss system in hao liang he co . ltd . the thesis offers a reference of other cement enterprises 本文以黑龙江省信息产业厅专项基金课题? ?水泥企业通用型mis软件的研发与应用为背景，结合浩良河水泥有限责任公司水泥生产的特点，以数据仓库技术如何应用于销售决策支持系统为例，提出了一个基于数据仓库技术的决策支持系统的解决方案，着重论述了数据仓库系统的设计方法和步骤，探讨了如何通过联机分析处理和数据挖掘技术实现数据仓库系统的数据分析，论证了在浩良河水泥有限责任公司管理信息系统中建立基于数据仓库技术的决策支持系统的必要性和可行性。
