alexa The Evolution of Big Data Security through Hadoop Incr
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on:
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

The Evolution of Big Data Security through Hadoop Incremental Security Model

To read the full article Peer-reviewed Article PDF image


Data pours in millions of computers and millions of process every moment of every day so today is the era of Big Data where data interrelate to the volume, velocity, and variety of data interrelate. Huge volume, various varieties and high velocity create lots of other challenges and issues regarding its management and processing. Big Data enable any organization to collect, manage, analyze and making decision incredibly from large data sets. Big data is growing at an exponential rate but security feature not growing at an same it becomes important to develop new technologies to deal with it securities. So require latest technology and moderate theory about data, other than the traditional tools and technique to manage it due its nature. This paper introduces the big data technology along with its importance in the modern world and existing projects like hadoop which are effective and important in changing the concept of science into big science. Hadoop, Map Reduce and No SQL are the major big data technology. This paper also throws some light on other challenges and issues. The various challenges and issues in adapting and accepting Big data security and suggest some more security standards and concept that make robust hadoop ecosystem without any processing overhead.


Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version