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A Literature Survey on Big Data
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This survey presents the concept of big data. It has a set of techniques and tools that needs new forms of integration to uncover data from different datasets that are complex, and massive scale. It is difficult to process the big data because everyday quintillion data are generated. The challenges include analysis, capture, search, store, transfer, visualize, and privacy violations. This paper focused on big data with different tools and techniques.
Keywords
Big Data, Hadoop, Map Reduce, Apache Hive, No SQL and HDFS.
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- Ms. Vibhavari Chavan, Prof. Rajesh. N. Phursule, ―Survey Paper On Big Data‖ International Journal of Computer Science and Information Technologies, Vol. 5 (6), 2014.
- Why is BIG Data Important? A Navint Partners White Paper, May 2012
- “Research in Big Data and Analytics: An Overview” International Journal of Computer Applications (0975 –8887) Volume 108 –No 14, December 2014
- Ferguson Mike.2012.Architecting a Big Data Platform for Analytics, a Whitepaper IBM.http://public.dhe.ibm.com/common/ssi/ecm/en/iml14333usen/IML14333UEN.PDF
- R. Agrawal, A. Imran, C. Seay, and J. Walker. A layerbased architecture for provenance in big data. In2014IEEE International Conference on Big Data, Big Data2014, Washington, DC, USA, October 27-30, 2014
- Y. Cheah, S. R. Canon, B. Plale, and L. Ramakrishnan. Milieu: Lightweight and congurable big data provenance for science. InIEEEInternational Congress on Big Data, Big Data Congress 2013, June 27 2013-July 2, 2013.
- Hadoop Distributed File System, http://hadoop.apache.org/hdfs
- Shilpa Manjit Kaur,” BIG Data and Methodology- A review” ,International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 10, October 2013.
- IBM big data platform web page http://www.ibm.com/software/data/bigdata/
- T. H. Davenport, P. Barth, and R. Bean, “How ‘Big Data’ Is Different.” MIT Sloan Management Review, fall 2012, Vol. 54, No. 1.
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