数据仓库管理系统

鉴于上述原因，我们研制了一个基于机群并行计算环境的并行数据仓库管理系统（PDWMS）。

So , A parallel data warehouse management system ( PDWMS ) based on parallel computing environment has been developed by our group .

然后，在此基础上建立了IPDSS，并分析了IPDSS的主要模块和模型、C/S体系的三层结构以及数据仓库管理系统。

Then IPDSS is built on this base , and the main modules and models of IPDSS , three layers structure of C / S system and data warehouse management system are analyzed .

高效的查询执行效率是数据仓库管理系统开发时最大的关注点。

The efficiency of query execution is the main concern when developing a data warehouse man-agement system .

传统的写优化数据库管理系统多数采用按行存储的方式，而对读优化的数据仓库管理系统而言，列存储表现出比行存储更加显著的性能。

Traditional write-optimized database management systems store data by rows . However , column-oriented technology shows a significant performance for read-optimized database management systems since it stores data table in the unit of column .

Oracle10g是目前比较适合建立数据仓库的数据库管理系统。

The Oracle 10g is suitable for establishing the data warehouse .

数据仓库在教学管理系统中的应用研究

Research on the Application of Data Warehouse in Teaching Management System

基于银行数据仓库的元数据管理系统

Metadata Management System Based on Bank Data Warehouse

然后讨论了文件管理、预测预报和滑坡体数据仓库管理三个子系统的详细设计与具体实现；

Afterwards , the file management subsystem , the prediction subsystem and the database management subsystem , which are divided from the only parent-system ( the landslide prediction system based on GIS ), are designed and programmed in detail respectively .

基于RFID和数据仓库技术的仓库管理系统研究

Research of RFID and Data Warehouse in WMS

本论文的关键技术是针对军用电子元器件的管理需求，确定数据仓库的结构和数据仓库管理系统，并进行数据转换、数据分析和数据挖掘，得出部分规律和趋势预测。

The key technology introduced in this paper are methods of building structure and management system of data warehouse , and methods of data transformation , analysis and data mining , got rules and forecast of trend .

针对元数据的变更管理是数据仓库元数据管理中最容易忽略的问题，本文提出一种基于数据仓库元数据管理系统的元数据管理模型。

Based on the fact that managing changes of data is the most neglected problem in the data warehouse metadata management , the paper proposes a model that is based on CWM and repository technology and can manage metadata of data warehouse .

由于数据仓库中存储的信息量非常庞大，如何对这些庞大的数据进行有效的管理对数据仓库管理系统来说是一个巨大的挑战。

As the amount of information stored in data warehouse is very large , how to manage these data effectively is a enormous challenge for data warehouse management system .

元数据管理是数据仓库技术研究的重点，该文首先对于数据仓库元数据管理的前提&元数据组成及分类进行了探讨，其次就数据仓库元数据管理系统应具备的功能进行了深入的研究。

In this paper , firstly , as the basis of data warehouse metadata management , the constitution and classification of metadata are discussed . Secondly , the functions which the metadata management system of data warehouse should possess are deeply investigated .