文章基本信息

标题：A Study on Big Data with Indexing Technique for Searching and Retrieval of Data Fastly
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作者：Pooja Anand ; Dr. Sandeep Maan
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：1
页码：505
DOI：10.15680/IJIRCCE.2017.0601008
出版社：S&S Publications
摘要：The rapid growth in volume, velocity, and diversity of data produced by mobile devices and cloudapplications has played a major role in collection of relevance or irrelevance data or ‘big data’. Available solutions forefficient data storage and management cannot fulfill the needs of such various data where the amount of data iscontinuously increasing day by day. For efficient retrieval and management, existing indexing techniques becomeinefficient with the rapidly growing index size and seek time and an optimized index scheme is required for big data.Regarding real-world applications, the indexing issue with big data in cloud computing is widespread in healthcare,enterprises, scientific experiments, and social networks. The objective of this paper is to examine and their usefulnessof some indexing techniques for big data.
关键词：Indexing; big data; search key; search value.