Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Big data refers to large-scale information management and analysis technologies that exceed the capability of traditional data processing technologies in order to analyse complex data and to identify patterns it is very important to securely store, manage and share large amounts of complex data. In recent years an increasing of database size, according to the various forms (text, images and videos) in huge volumes and with high velocity, problems of services that use internet and require big data come to forefront (data-intensive services). Hadoop Distributed File System (HDFS) is evolving as a superior software component for cloud computing combined along with integrated parts such as MapReduce. Hadoop which is an open-source implementation of Google MapReduce including a distributed file system, provides to the application programmer the abstraction of the map and the reduce. The research shows the security approaches for big data Hadoop distributed file system and the best security solution, also this research will help business by big data visualization which will help in better data analysis. In today’s data-centric world, big-data processing and analytics have become critical to most enterprise and government applications.
How to cite this article:
M. Elshayeb and Leelavathi . A Study on Security Approaches for Big Data Hadoop Distributed File System.
DOI: https://doi.org/10.36478/jeasci.2019.8266.8272
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.8266.8272