data warehouse的例句大全

This stage represents your target data warehouse table.

此阶段代表您的目标数据仓库表。

Statistics and Analysis for Line Loss of Power Network Based on Data Warehouse; Difference between statistical line loss and theoretical line loss in line loss delicacy project

基于数据仓库的电力网线损统计与分析

Data Warehouse System in Order to Raise the Level of Financial Management of Hospitals

以数据仓库系统提高医院财务管理水平

Spatial Data Warehouse Building and Data Mining Based on Oracle Database

基于Oracle的空间数据仓库构建与数据挖掘研究

An Efficient Refreshment Algorithm for Materialized View in Data Warehouse with Multiple Sources

数据仓库中多数据源物化视图的一种有效更新算法

There are 3NF ( third Normal Form) scheme and star scheme for data warehouse dimensional modeling.

数据仓库维度建模有第三范式（3NF）和星型2种模式，3NF模型适用于地调数据仓库中心建模；

Based on the fundamental theory of DSS and technique of data mining, data warehouse and. NET architecture, three-layer architecture system is designed that includes four libraries and five function modules.

依据决策支持系统基本原理和数据库数据仓库技术，以及微软的.NET架构，构建了包含四库系统、五大功能模块的三层架构的系统。

For network performance data, we study how to efficiently organise data warehouse in this paper.

针对网络管理数据库的性能数据，如何组织数据仓库，如何面向性能分析等主题进行有效的数据仓库组织，本文进行了具体的实现研究。

CIAS Providing Data Warehouse Solutions 3. programming for emluator and providing the emulating data.

综合信息获取系统的数据仓库解决方案3.编程对算法进行仿真，给出仿真性能。

This paper studies the relative theory and technical of the industrial process plant data warehouse. The three tier system structure is employed, C sharp program language is used to code, and the visual industrial process data warehouse is accomplished.

论文研究工厂级工业过程数据仓库的相关理论和技术，采用三层结构的系统架构，使用C语言，实现了基于。

The security of a data warehouse is the most critical issue.

数据仓库的安全性是一个非常重要的问题。

Synchronisation update multi-Agent system answers for make the data in data warehouse and information sources changing in-phase.

同步更新多Agent系统负责使数据仓库和信息源中的数据变化保持同步。

In this paper, we have provided a sale decision support system based on data warehouse according to our practical work.

本文针对某企业实际情况，提出一套基于数据仓库的销售决策支持系统的解决方案。

Metadata interoperability is a key problem in data warehouse environment.

在数据仓库环境中，元数据互操作性是一个关键问题。

The data integration is the most important step in warehouse data transformation processes, and it is the key concept in data warehouse design.

数据集成是仓库数据转换过程中最重要的步骤，也是数据仓库设计中的关键概念。

So we probed into some key technologies in data warehouse system by the example of the DW of floating population.

其中数据仓库的建立是整个系统开发的基础，因此本文以暂住人口数据仓库为例，探讨数据仓库的几个关键技术的实现。

Metadata is one of the key points in data warehouse projects, while the standard of metadata is essential in managing metadata.

元数据是数据仓库项目取得成功的关键因素之一，而元数据标准又是成功管理元数据的关键。

So this imposes critical request to the response time of queries and makes improving efficiency of OLAP queries the key issue in Data Warehouse application.

这种使用方式对查询响应速度提出了很高的要求，使得提到OLAP查询效率成为数据仓库应用中的关键问题。

The paper analyzes the necessity of adopting data warehouse in decision support system, describes the operational mechanism of data warehouse and stresses OLAP and Data Mining, the key techniques in data analysis and decision-making.

本文分析了在决策支持系统中引入数据仓库的必要性，论述了决策支持系统中数据仓库的运作流程，并强调了数据分析与决策的关键技术：OLAP技术和数据挖掘技术。

Data Environment Design In CIMS Based on Data Warehouse

基于数据仓库的CIMS数据环境设计