Hadoop与大数据相关的安全问题

M. P. Kumar, Sampurnima Pattem
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引用次数: 1

摘要

由于新技术、新设备的出现,如今人类产生的数据量每年都在迅速增长。大数据包括海量、高速、可扩展的各种数据。大数据以结构化数据(例如:关系数据)、非结构化数据(例如:文本、PDF、Word)和半结构化数据(例如:XML数据)的形式存在。通过传统的数据库服务器处理此类数据确实是一项繁琐的任务。谷歌使用一种名为Map Reduce的算法解决了这个问题,该算法在Hadoop技术中使用。在本文中,我们讨论了与大数据相关的Hadoop中的一些安全问题。大数据应用程序对组织非常有用,所有类型的公司可能是小型或大型公司,也可能是工业等。
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Security Issues in Hadoop Associated With Big Data
Due to the advent of new technologies, devices, Now-a-days the amount of data produced by mankind is growing rapidly every year. Big data includes huge volume, high velocity, and extensible variety of data. The Big data is in the form of Structured data (Ex: Relational data), unstructured data (Ex: Text, PDF, Word) and Semi Structured data (Ex: XML data). It is really a tedious task to process such data through a traditional database server. Google solved this problem using an algorithm called Map Reduce, used in the technology Hadoop. In this paper we discuss some security issues in Hadoop associated with Big data. Big data applications are very much useful to Organizations, all type of Companies may be small or large scale companies and to the Industries etc.
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