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Data Warehouse and Data Virtualization Comparative Study

机译:数据仓库与数据虚拟化比较研究

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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.
机译:当前,在竞争激烈的商业组织中,世界正在发生变化。这导致决策系统发生了变化,众所周知,决策系统完全依赖于商业智能,而这又取决于数据集成过程的准确性。但是,数据集成有两种主要类型,第一种是由Data Warehouse表示的物理集成,而另一种是由Data Virtualization表示的虚拟集成命名的。在本文中,我们除了列出了每种技术的实用性和缺点之外,还回顾了这两种技术(数据仓库和数据虚拟化),本文的主要贡献是对(DW和DV)进行了比较,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。

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