Big Data to Big Data Mining: Issues, Challenges and Data Analytics Solutions

Autor/innen

  • Madhulika Pandey JIMS Engineering Management Technical Campus
  • Madhulika Pandey
  • Krishan Kumar

Schlagwörter:

Big Data, Big Data Analytics, Big Data Mining, MOA, R, GraphLab, Pegasus, Mahout.

Abstract

Data has evolved at a great pace due to increasing interest of people and valuable contribution towards the emerging technologies. Emerging technologies are successful in generating huge quantity of data from various sources which in return provides Big Data. Big Data constitutes large amount of data in terms of texts, statistics, facts, figures, and records, etc., generated from heterogeneous environment. Big Data needs special attention for storage, managing, transportation and processing of data. It includes amassing of data in terms of 3V’s, i.e. volume, variety and velocity. Issues and challenges of Big Data are real time obstacles and needs instant consideration. This paper presents the overview of Big Data along with its issues and challenges. Applications of data mining in Big Data along with some of its open sources are also discussed in the paper.  Keywords: Big Data, big data analytics, big data mining, Massive Online Analysis, R, GraphLab, Pegasus, Mahout Cite this Article Neeraj Kumar, Madhulika Pandey, Krishan Kumar. Big Data to Big Data Mining: Issues, Challenges and Data Analytics Solutions. Current trends in Information Technology. 2016; 6(3): 7– 15p. 

Autor/innen-Biografie

  • Madhulika Pandey, JIMS Engineering Management Technical Campus
    Authors: Mr. Neeraj Kumar, Ms. Madhulika Pandey, Mr. Krishan Kumar SaraswatAssistant Professor Department of Computer Science and Engineering

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Veröffentlicht

2016-12-19

Ausgabe

Bd. 6 Nr. 3 (2016)

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Review Articles

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