Pembentukan Data Mart Menggunakan Metode Generalization

I. G. S. Aryandana, I. M. Sukarsa, P. W. Buana
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引用次数: 2

Abstract

Technology today causing the data needs of an agency or company to process the data or analyze data quickly, dense and higher. Companies or institutions want the data analysis processcan save time as much as possible. The data warehouse is a data analysis technology that is useful to resolve the issue. The data warehouse is a repository of data that is useful to accommodate all the history data held by agencies or companies. Data marts are part kacil of the data warehouse. Data mart is focused on a single subject. This study uses a generalization method to perform the process of establishing a data mart. Generalization is a useful method to reduce or narrow the differences in the data based Subclass. Subclasswere integrated into a Superclass useful to collect some data from the Subclass. Subclassis the data that is more descriptive. Superclass is more general in nature of data. The result obtained is a collection of some Subclasspredetermined or selected later formed a Superclass useful to accommodate the resources of the Subclass.
Mart数据构建采用推广方法
今天的技术导致机构或公司需要快速、密集和更高的数据处理或分析数据。公司或机构希望数据分析过程能够尽可能地节省时间。数据仓库是一种数据分析技术,对解决这个问题很有用。数据仓库是一种数据存储库,可用于容纳机构或公司持有的所有历史数据。数据集市是数据仓库的一部分。数据集市专注于单一主题。本研究使用泛化方法来执行建立数据集市的过程。泛化是减少或缩小基于数据的子类之间差异的有效方法。子类被集成到一个超类中,用于从子类收集一些数据。子类是更具描述性的数据。超类在数据的性质上更通用。所获得的结果是一些子类的集合,这些子类是预先确定或选择的,后来形成了一个有用的超类,以容纳子类的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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14
审稿时长
24 weeks
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