Performance analysis of indexing techniques in Data warehousing

Shawana Jamil, Rashda Ibrahim
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引用次数: 10

Abstract

The explosive growth of information in recent years has brought up a new question/challenge of disseminating information from a huge plethora of data. This has led to an upscale development of interest in Data warehousing. Different indexing techniques have been developed which are being used for fast data retrieval in Data warehouse environment, but it is quite difficult to find an appropriate technique for a specific query type. So an investigation is needed to find an indexing technique for a specific query type. The objective of this paper is to compare indexing technique and to identify the factors which are to be considered in selecting a proper indexing technique for data warehouse applications, and to evaluate indexing techniques on the basis of different types of data warehouse queries. This paper focuses on the performance evaluation of three data warehouse queries with three different indexing techniques and to observe the impact of variable size data with respect to time and space complexity.
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数据仓库中索引技术的性能分析
近年来信息的爆炸式增长带来了从海量数据中传播信息的新问题/挑战。这导致了对数据仓库兴趣的高度发展。为了在数据仓库环境中实现快速的数据检索,已经开发了不同的索引技术,但是很难找到适合特定查询类型的索引技术。因此,需要进行调查以找到针对特定查询类型的索引技术。本文的目的是比较索引技术,确定为数据仓库应用程序选择合适的索引技术时应考虑的因素,并根据不同类型的数据仓库查询对索引技术进行评估。本文主要关注使用三种不同索引技术的三种数据仓库查询的性能评估,并观察可变大小数据对时间和空间复杂性的影响。
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