Author : Shony KM 1
Date of Publication :20th April 2017
Abstract: Big Data analytics have significant promises in this era of information explosion. Cloud computing, ecommerce , social networking etc. are enhancing importance of big data. However, there are a number of challenges that must be overcome to realize its true potential. Big Data analytic systems use cluster computing infrastructures that are more reliable and available as compare to traditional security analytics technologies. Big data absolutely has the potential to change the way governments, organizations, and academic institutions conduct business and make discoveries, and it is likely to change how everyone lives their day-to-day lives. This will constitute its future scope.
Reference :
-
- Keith C.C. Chan, “Big data analytics for drug discovery,” IEEE International Conference on Bioinformatics and Biomedicine, 2013. The Hong Kong Polytechnic University.
- ParthChandarana and M. Vijayalakshmi, “Big Data Analytics Frameworks,” International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014
- Han Hu, Yonggang Wen2Tat-Seng Chua1 and Xuelong Li, “Toward Scalable Systems for Big Data Analytics,
- KapilBakshi,”Big Data Analytics Approach for Network Core and Edge Applications,”
- Qiufen Xia, Weifa Liang and ZichuanXu, “Data Locality-Aware Query Evaluation for Big DataAnalytics in Distributed Clouds,” Second International Conference on Advanced Cloud and Big Data, 2014.
- Jiankun Huand Athanasios V. Vasilakos, “Energy Big Data Analytics and Security: Challenges and Opportunities,” DOI 10.1109/TSG.2016.2563461.
- Alfredo Cuzzocrea,“Provenance Research Issues and Challenges in the Big Data Era,” IEEE 39th Annual International Computers, Software & Applications Conference,2015.
- Kyounghyun Park, Minh Chau Nguyen, Heesun Won, “Web-based Collaborative Big Data Analytics on Big Data as a Service Platform,”
- Gennady Smorodin and Olga Kolesnichenko, “Big Data as the Big Game Changer Big Data-driven world needs Big Data-driven ideology”
- Randal E. Bryant, Randy H. Katz, Edward D. Lazowska, “Big-Data Computing: Creating revolutionary break throughs in commerce, science, and society,”
- YogeshDhinwa, “Applying Data Analytics on Vulnerability Data,” SANS Institute, Info Sec Reading Room December 21, 2015.