International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)

IJTEEE >> Volume 4 - Issue 3, March 2016 Edition

International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289

Technology And Methodology Analytics Of Big Data

[Full Text]



Surekha Lanka, Sidra Eshan



Complexity,framework,Mapreduce,traffic management,pipeline, sensitive ,AMQP, Memcached,Unstructured, control strategies, matrix gener-ator,data integration,extraction, cleansing, JAVA, enormous information.



The world of the Information Technology has changed in a dramatic way over the past few decades. With the introduction of smartphones and the use of the internet as a part of daily life, the large amount of the data is created. Generation of the data commonly known as the Big Data has created a challenge for the IT professionals. On the other hand, despite the challenges posted by the Big Data it has potential of presenting a great opportunity for the businesses and the networks to improve and optimize their services. In the research review, different technologies of the Big Data, challenges, technical details and software platforms are discussed in detail.



[1] http://www.javacodegeeks.com/2013/04/how-hadoop-works-hdfs-case-study.htmls

[2] http://www.3pillarglobal.com/insights/analyze-big-data-hadoop-technologies

[3] https://hive.apache.org/

[4] https://hadoopecosystemtable.github.io

[5] https://www.nttreview.jp/archive/ntttechnical.php?contents=ntr201311fa1.html

[6] Gao, J. (2014). Machine Learning Optimization for Data Center Optimization

[7] Hand, R., & Lu, X. (2015). On-Big Data Benchmarking. London: Imperial College London

[8] Ghaninejad, A., Bowman, T., Tasu, A., & Ekbia, H. (2013). Big Data: Bigger Dilemmas A Critical Review. CROMI.

[9] http://www.slideshare.net/PhilippeJulio/hadoop-architecture/33-MANAGEMENT_OPS_WHIRR_AMBARI_Apache

[10] Khan, N., Yaqoob, I., Inayat, Z., Ali, M., Alam, re Articles, 11(11). M., & Gani, A. (2014). Big Data: Survey ,Technologies, Opportunities and Challenges. The Scientific World Journal, 2014(712836).

[11] Kvernick, T., & Matti, M. (2012). Applying Big Data Technologies to network architecture. Ericsson Review.

[12] Mauro, A., Greco, M., & Grimaldi, M. (2015). What is big data? A consesual definition and review of key research topics. AIP Publisihing.

[13] Rusitchka, S., & Ramiez, A. (2014). Big Data Roadmap Societical Externalities. European Union.

[14] Ryu, S. (2014). Book Review: Big Data Management, Technologies, and Applications. Healthc Inform Res, 20(1), 76. doi:10.4258/hir.2014.20.1.76

[15] Schroeder, R., & Cowls, J. (2014). Big Data, Ethics, and the Social Implications of Knowledge Production. Oxford.

[16] Sharma, P. (2013). Leveraging Big Data Using SAS High Performance Analytic Server. SAS Global Forum.

[17] Shiomoto, K. (2013). Applications of Big Data Analytics Technologies for Traffic and Network Management Data - Gaining Useful Insights from Big Data of Traffic and Network Management