Data Mining and Knowledge Engineering

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A Survey on Big Data-Concepts, Analytics and its Tools


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1 Department of Information Technology, St Joseph’s College - Tiruchirappalli, India
     

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Big data is related with another age of innovations and structures, which can outfit the estimation of greatly substantial volumes of extremely fluctuated information through ongoing preparing and investigation. It includes changes in information composes, aggregation speed, and information volume, Size is the first, and at times, the only dimension that leaps out at the mention of big data. This paper attempts to offer a broader definition of big data that captures its other unique and defining characteristics. Academic journals in numerous disciplines, which will benefit from a relevant discussion of big data, have yet to cover the topic. This paper presents a consolidated description of big data by integrating definitions from practitioners and academics. The paper’s primary focus is on the analytic methods used for big data. A particular distinguishing feature of this paper is its focus on analytics related to unstructured data, which constitute 95% of big data. This paper also reinforces the need to devise new tools for predictive analytics for structured big data. In this paper, focus on concepts, methods and analytics used in big data.


Keywords

Big Data, Hadoop, Map Reduce, Security.
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Abstract Views: 177

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  • A Survey on Big Data-Concepts, Analytics and its Tools

Abstract Views: 177  |  PDF Views: 4

Authors

A. Antony Prakash
Department of Information Technology, St Joseph’s College - Tiruchirappalli, India
H. Aarthi
Department of Information Technology, St Joseph’s College - Tiruchirappalli, India

Abstract


Big data is related with another age of innovations and structures, which can outfit the estimation of greatly substantial volumes of extremely fluctuated information through ongoing preparing and investigation. It includes changes in information composes, aggregation speed, and information volume, Size is the first, and at times, the only dimension that leaps out at the mention of big data. This paper attempts to offer a broader definition of big data that captures its other unique and defining characteristics. Academic journals in numerous disciplines, which will benefit from a relevant discussion of big data, have yet to cover the topic. This paper presents a consolidated description of big data by integrating definitions from practitioners and academics. The paper’s primary focus is on the analytic methods used for big data. A particular distinguishing feature of this paper is its focus on analytics related to unstructured data, which constitute 95% of big data. This paper also reinforces the need to devise new tools for predictive analytics for structured big data. In this paper, focus on concepts, methods and analytics used in big data.


Keywords


Big Data, Hadoop, Map Reduce, Security.

References