International Journal of Engineering and Management Research (IJEMR)
Year : 2017, Volume : 7, Issue : 4
First page : ( 103) Last page : ( 104)
Print ISSN : 2394-6962. Online ISSN : 2250-0758.

Review of Big Data Mining Technologies

Wazir Samar, Alam Shah Imran

Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India

Online published on 31 October, 2017.

Abstract

The automation and modernization of industries leads to store huge amount of current and past data for analysis and processing which helps in decision making and business strategies for reducing risk. So as the size of data increases the processing power of hardware decreases and by this way the size of hardware got saturated. The different type of data which cannot be processed by already existing computer hardware due to its size, structure, variety and other properties is known as big data. So for handling big data we have two options, either we can switch to better hardware or we can change the strategy of processing. In this paper we focus on second option that is what can be the strategies for handling big data and which one is better. Hence various technologies of big data is comprehensively surveyed in this study.

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Keywords

Big Data, Map Reduce, HDFS, Cloud Computing, Structured and Unstructured Data.

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