Data Synthesis and Importance of Big Data Security Analytics for Securing the Enterprise Data
B. Hema Kumari1, V. Surya Narayana Reddy2 

1B. Hema Kumari, Assistant Professor, Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, India.
2V. Surya Narayana Reddy, Assistant Professor, Department of CSE, Sreenidhi Institute of Science and Technology, Hyderabad, India.

Manuscript received on 05 March 2019 | Revised Manuscript received on 11 March 2019 | Manuscript published on 30 July 2019 | PP: 4808-4811| Volume-8 Issue-2, July 2019 | Retrieval Number: B2348078219/19©BEIESP | DOI: 10.35940/ijrte.B2348.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Big data can be A data with large magnitude means it’s large volume, velocity and variety. Currently a day’s big data is enlarging in a various engineering and science disciplines. Because of rise in quantity of complex targeted dangers and accelerated increase in statistics, the investigation of data becomes overly hard. Now’s Big Data security analytics systems rely on, on data that is indecent. As associations start and expand their own data systems – allowing spouses, customers and suppliers to get corporate information in dynamic and new methods and it becomes even vulnerable to data theft and abuse. Attackers have grown to be more adapt at exceptionally concentrated, complex attacks which interrupts static hazard detection measures. Now’s strikes have decided by high level technologies aren’t discovered before damage was happened. The process is collecting and assessing that the Big Data fast enough to comprise threats and execute past remediation. In this review paper, We’re talking concerning procedure just how Big Data is examined with the procedure for Hadoop and the Big Data Security Analytics is Essential to mitigate the safety dangers to Ensure the business data better.
Index Terms: Big Data Analytics, Big Data, Machine Learning

Scope of the Article: Big Data Analytics