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。
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。
Absrtact: By analyzing the concept and system frame of data warehouse and OLAP, describe one method for design and implementation of OLAP.
摘要：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。
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。
The thesis features:1 Proposing an innovation and breakthrough way of data warehouse and OLAP analysis application in water allocation and management information integration.
提出将数据仓库、OLAP分析技术运用到水电调度管理系统信息集成的思想，这对水电调度传统的管理方式和决策模式是一次突破。
Multidimensional data cube is the major data model of data warehouse and OLAP server, but implementation of Multidimensional data Cuboids lattice is really time-consuming and space-consuming task.
多维数据立方体是数据仓库和OLAP服务器的主要数据组织模型，多维数据立方体格的实现占用大量的时间和空间资源。
DWE integrates core components for warehouse administration, data mining, OLAP and inline analytics and reporting.
DWE集成了用于仓库管理、数据挖掘、OLAP和内联分析和报告的核心组件。
DB2 DWE integrates core components for warehouse administration, data transformation, and data mining, as well as OLAP analytics and reporting.
DB 2DWE集成了用于仓库管理、数据转换、数据挖掘以及OLAP分析和报告的核心组件。
Graphical tool for creating physical data models, DB2 SQL-based warehouse construction data flows, and OLAP cube models.
用于创建物理数据模型的图形化工具，DB 2基于SQL的数据仓库结构数据流，以及olap多维数据集模型。
InfoSphere Warehouse also includes a taxonomy Editor that categorizes dictionary entries in a taxonomy tree for use in data mining and OLAP.
InfoSphereWarehouse还包含一个TaxonomyEditor，它可以把词典条目分类为分类法树，可以供数据挖掘和OLAP使用。
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。
Data Warehouse and Online Analytical Processing (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。
Data warehouse systems are nowadays widely spread approach for OLAP. In order to integrate several data warehouses into a data warehouse, the technical and semantic problems must be solved.
数据仓库系统正广泛用于联机分析处理系统，为了能将多个数据仓库集成到一起，需要解决技术上和语义上的一些问题。
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。
Moreover, we research the application of OLAP and data mining technology in the data warehouse.
并研究了OLAP及数据挖掘在该数据仓库中的应用。
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。
Several issues related with Tax decision making are studied and applied, including data warehouse(DW), online analyses and processing (OLAP) and data mining (DM).
笔者对涉及到税务支持的几个关键问题进行了理论探讨和实际应用，包括数据仓库（DW）的建立和组织、联机分析（OLAP）和数据挖掘（DM）。
A new approach to decision support system is put forward based on related techniques and development methods of data warehouse for the shortage of relational database in the aspect of OLAP.
针对关系型数据库在联机分析方面的不足，利用数据仓库的相关技术和开发方法，提出了决策支持系统开发的一种新途径。
Online Analytical Processing (OLAP) is the key of CRM system, which set up data warehouse and analytic model aiming at consumers' requirement, and the analytic result is obtained.
在线分析处理OLAP是CRM系统中关键的一环，针对用户需求建立了数据仓库和分析模型，并给出了统计分析的结果。
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。
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。
Data warehouse provides a good data environment for Decision Support System (DSS) and On-Line Analytical Processing (OLAP).
数据仓库是企业决策支持系统(DSS)和联机分析处理(OLAP)的数据环境。
Spatial data warehouse is the result of importing the data warehouse and online analysis processing (OLAP) technology into the spatial information area, in order to support spatial data analysis.
空间数据仓库技术是将数据仓库和联机分析处理技术应用到空间信息领域，以有效地支持空间数据分析和决策。
Based on the customer-centric data warehouse, several methods for customer data analysis, such as query and report, OLAP and data mining, are introduced.
基于建立的客户数据仓库，介绍了查询与报表、OLAP分析和数据挖掘等客户数据分析方法。
Five part of thesis to is it spend from marketing data warehouse start with to link mainly, have refined out the relevant theme and star mode picture of the course on the basis of OLAP.
论文的第五部分主要是从营销数据仓库的维度分入手，在OLAP的基础上提炼出了相关主题和过程的星形模式图。
It involved the creation of the data warehouse, the extraction of data, the achievement of OLAP, and in particular it explains the model base and method base in the system.
主要涉及到数据仓库的创建、数据析取，OLAP分析的实现。并对系统中模型库和方法库进行了详细说明。
OLAP is a kind of multidimensional data analysis technology, which emphasizes on the data analysis in data warehouse, and provides aid decision information for managers.
OLAP技术是一种多维数据分析技术，侧重于数据仓库中的数据分析，为管理者决策提供信息支持。
Data warehouse stores volumes of historical data, and OLAP applications involve complex queries on these data. Queries optimization is the key of improving the speed of OLAP response.
数据仓库存储大量历史数据，OLAP应用涉及到对大面积历史数据的复杂查询，查询优化是提高OLAP响应速度的关键。
Currently the Business Intelligent System includes four parts, which are Data Collection, Data Warehouse, Data Mining and OLAP.
目前的商务智能系统主要包括数据收集、数据仓库、数据挖掘和OLAP联机分析四个部分。
The ones that spoke of mainly are data warehouse and the data mart, OLAP and data mining, and show technologies in the front-ends.
主要谈到的是数据仓库和数据集市、联机分析处理和数据挖掘以及前端展示技术。
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