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The Evolution of Big Data Security through Hadoop Incremental Security Model

Vinod Sharm1, Prof. N.K. Joshi

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 rate.so 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.

Avertissement: Ce résumé a été traduit à l'aide d'outils d'intelligence artificielle et n'a pas encore été examiné ni vérifié

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