文章基本信息

标题：Data Archival using Hadoop Distributed File System
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作者：Kajal J. Jewani ; Deepika Singh T ; Neil George 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：6
页码：4974-4976
出版社：TechScience Publications
摘要：In today’s world there is data and information explosion to which Hadoop is best suited taking into account the reasonable cost, up gradation, scalability, fault tolerance and devoid of schema. Large organizations all over the world find data analytics a daunting task and seek the help of experts so that they can retrieve the data immediately whenever required. One such good example is the RTI Act 2005 wherein large amount of data has to be sifted to give cogent and meaningful replies. Organizations by convention or law are required to maintain data for a minimum of 7 years and much more. Retrieving data at the press of button is proven to be the Achelees heel for corporates. This paper makes a cogent attempt to show as to how to retrieve data generated by social, print, film, history, research and a host of other activities by application of ESIEE
关键词：Hadoop; Data Archival.; HDFS.Data Mining;Big Data; Business scalability.