面向科技管理系统的数据仓库研究

Dong Wang, Qing Li, Chenyang Xu, Piao Wang, Zhuohao Wang
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引用次数: 0

摘要

科技管理系统的一项核心工作是利用数据仓库技术支持分布式系统的海量数据的集成和利用。在本文中,我们着重于这项工作。首先,通过对项目管理业务流程方案的阐述,介绍了科技管理的背景。然后,为了定义科技数据结构,我们提出了一个自定义的星型模型,在星型模型中,我们添加了各种维度表,将不同的属性与科技项目联系起来。特别地,为了满足科技领域复杂的查询条件,引入了四维数据立方体。此外,为了集成来自分布式系统的数据,我们提出了一种科技项目数据仓库体系结构(STPDW)——一个五层的系统,从科技管理系统中收集原始数据,并使用具有预定义规则的提取、转换和加载(ETL)工具在标准工作流中处理数据。最后,还设计了一个原型系统来实现STPDW的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Data Warehouse for Science and Technology Management System
A core work of the science and technology management system is to support the integration and utilization of massive data from distributed systems using data warehouse technology. In this paper, we focus on this work. First, we introduce the background of science and technology management by illustrating the scheme of project management business flows. Then, to define the science and technology data structure, we propose a customized star model in which we add various dimensional tables to connect the different attributes with science and technology projects. Particularly, a 4-D data cube is introduced to satisfy complicated query conditions in science and technology domain. Furthermore, to integrate data from distributed systems, we propose an architecture of data warehouse of science and technology projects (STPDW)—a five layered system that gathers raw data from the science and technology management systems, and processes the data in a standard workflow by using Extract Transform and Load (ETL) tools with predefined rules. Finally, a prototype system has also been designed to achieve the functionality of the STPDW.
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