TY  - JOUR
T1  - A Study on Security Approaches for Big Data Hadoop Distributed File System
AU - , Leelavathi AU - Elshayeb, M. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 22
SP  - 8266
EP  - 8272
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.8266.8272
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.8266.8272
KW  - information
KW  -Technologies
KW  -management
KW  -large amounts
KW  -dentify
KW  -complex data
AB  - 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.
ER  -