Big Data: Challenges and Opportunities
Anuranjan Misra1, Anshul Sharma2, Preeti Gulia3, Akanksha Bana4
1Dr. Anuranjan Misra, Professor, & Dean, Bhagwant Institute of Technology, Ghaziabad (U.P), India.
2Ms. Anshul Sharma, M.Tech Scholar, Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak (Haryana), India.
3Dr. Preeti Gulia, Assistant Professor, Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak (Haryana), India.
4Ms. Akanksha Bana, Assistant Professor, Department of Computer Science & Engineering, Bhagwant Institute of Technology, Ghaziabad (U.P), India.
Manuscript received on 10 July 2014 | Revised Manuscript received on 20 July 2014 | Manuscript Published on 30 July 2014 | PP: 41-42 | Volume-4 Issue-2, July 2014 | Retrieval Number: B1733074214/14©BEIESP
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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 (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.
Keywords: Bigdata, Definition of Big Data, Meseure of Big Data, Challenges in Big Data.
Scope of the Article: Big Data Security