Data warehouse state of the art and future challenges

Nawfal El Moukhi, Ikram El Azami, A. Mouloudi
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引用次数: 2

Abstract

The evolution of the computer world and the proliferation of storage devices has led to an explosion of available information, so that made their exploitation difficult. In addition, it has been found that a large part of this data will not be stored or used; however, it constitutes a precious raw material to understand the activity and anticipate its evolution., To cope with these problems, professionals implemented a decision making support systems (or decision support systems) and which allow a synthetic and multidimensional treatment of all available and stored information, hence the birth of the data warehouse and data mining techniques. This paper introduces the data warehousing, gives researchers terminologies necessary for understanding the process, and summarizes its evolution. It also presents an analysis of the latest research in the field, and explores the future trends. And therefore, this study provides a reference for researchers wishing to contribute in this area.
数据仓库的现状和未来的挑战
计算机世界的发展和存储设备的激增导致了可用信息的爆炸式增长,这使得利用这些信息变得困难。此外,人们发现,这些数据的很大一部分将不会被存储或使用;然而,它构成了了解活动和预测其演变的宝贵原材料。为了解决这些问题,专业人员实现了一个决策支持系统(或决策支持系统),它允许对所有可用和存储的信息进行综合和多维处理,因此诞生了数据仓库和数据挖掘技术。本文介绍了数据仓库,给出了理解数据仓库过程所需的术语,并总结了数据仓库的发展历程。本文还对该领域的最新研究进行了分析,并探讨了未来的发展趋势。因此,本研究为希望在这一领域有所贡献的研究者提供了参考。
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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