数据仓库与数据虚拟化比较研究

A. Mousa, N. Shiratuddin
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引用次数: 9

摘要

目前,在竞争激烈的商业世界中,组织正在发生变化。这导致决策系统正在发生变化,众所周知,决策系统完全依赖于商业智能,而这反过来又依赖于数据集成过程的准确性。然而,数据集成主要有两种类型,第一种是由数据仓库表示的物理集成,另一种是由数据虚拟化表示的虚拟集成。在本文中,我们回顾了这两种技术(数据仓库和数据虚拟化),除了列出各自的有用性和缺点之外,本文的主要贡献是比较(DW和DV),以帮助该领域的研究人员和开发人员在构建应用程序的过程中做出最佳决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Warehouse and Data Virtualization Comparative Study
Currently, in the competitive world of business organizations is changing. This has led to the decision-making systems are changing, and as it is known that the decision-making systems rely entirely on Business Intelligence and this in turn depends on the accuracy of the data integration process. However, there are two main types of data integration, the first one is physical integration represented by Data Warehouse, while the other named by virtual integration represented by Data Virtualization. In this paper, we review both techniques (Data Warehouse and Data Virtualization) in addition to the listed usefulness and disadvantages of each, the main contribution of this paper is a comparison between (DW and DV) to help researchers in this area and the developers of the best decision-making through the process of building their applications.
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