Big data: Issues, Challenges and Tools.

Alagappa Institute of Skill Development & Computer Centre,Alagappa University, Karaikudi, India.15 -16 February 2017. IT Skills Show & International Conference on Advancements In Computing Resources (SSICACR-2017)

Format: Volume 5, Issue 1, No 25, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: M.Priya,Dr.C.Balakrishnan.

Reference:IJCS-276

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Abstract

Big data is a set of techniques and technologies that require new forms of integration to uncover large hidden values from large datasets that are diverse, complex, and of a massive scale. We discussed big data characteristics in introduction. The primary purpose of this paper is to present the issues and challenges of big data analytics. The challenges include quality of data, capturing, analysis, processing, storage, sharing, and privacy violations. The paper concludes with description of big data analytics tools Hadoop, Hive, PIG, WibiData, PLATFORA, SkyTree.

References

[1] Ibrahim AbakerTargioHashem, IbrarYaqoob , Nor BadrulAnuar , SalimahMokhtar , Abdullah Gani , SameeUllah Khan, “The rise of “big data” on cloud computing: Review and open research issues ” Information Systems 47(2015) 98–115. [2] BrijeshB.Mehta, UdaiPratapRao, “Privacy Preserving Unstructured Big Data Analytics: Issues and Challenges”, International Conference on Information Security & privacy, 2016, 78, 120-124 [3] Naveen Garg ,Dr. Sanjay Singla, Dr.SurenderJangra , “Challenges and Techniques for Testing of Big Data”, Procedia Computer Science 85 ( 2016 ) 940 – 948. [4] Sachchidanand Singh, Nirmala Singh, “Big Data Analytics”, IEEE, International Conference on Communication, Information & Computing Technology (ICCICT), Oct. 19-20, 2012. [5]Sam Madden, “From Databases to Big Data”, IEEE, Internet Computing, May-June 2012. [6] S. Singh and N. Singh, “Big Data Analytics”, 2012 International Conference on Communication, Information & Computing Technology Mumbai India, IEEE, October 2011. [7] Martin Courtney, “The Larging-up of Big Data”, IEEE, Engineering &Technology, September 2012. [8] Intel IT Center, “Planning Guide: Getting Started with Hadoop”, Steps IT Managers Can Take to Move Forward with Big Data Analytics, June 2012.

Keywords

Big data, Big data analytics Tools, Techniques, Hadoop, Hive.

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

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