HDFS Security Approaches and Visualization Tracking

   

M.Elshayeb, Dr. Leelavathi*
School of Information Technology, SEGi University

Journal of Engineering & Technological Advances
Vol. 3, Issue 1, pp. 49-60 (2018)
https://doi.org/10.35934/segi.v3i1.49

Full Text PDF

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, the services issues that use internet and desires big data come to leading edge (data-intensive services), (HDFS) Apache’s Hadoop distributed file system is in progress as outstanding software component for cloud computing joint with integrated pieces such as MapReduce. GoogleMapReduce implemented an open source which is Hadoop, having a distributed file system, present to software programmers the perception of the map and 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.