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Research Journal of Science and Technology
Year : 2017, Volume : 9, Issue : 4
First page : ( 639) Last page : ( 642)
Print ISSN : 0975-4393. Online ISSN : 2349-2988.
Article DOI : 10.5958/2349-2988.2017.00109.7

Big Data Technologies: A Case Study

Vanka Padmavathi*, Prof. Sudha T.**

Department of Computer Science, SPMVV, Tirupathi, India

*Corresponding Author E-mail: vanka.padmavathi@gmail.com

**thatimakula_sudha@yahoo.com

Online published on 12 June, 2018.

Abstract

The development of Big Data is rapidly accelerating and affecting all areas of technologies by increasing the benefits for individuals and organizations. Big data can be categorized by its volume, variety and velocity. Since data size is bigger, it requires sophisticated techniques, tool and architectures to analyze the data. To extract knowledge from Big Data, various models, programs, softwares, hardwares and technologies have been designed and proposed. They try to ensure more accurate and reliable results for Big Data applications. In fact, many parameters should be considered: technological compatibility, deployment complexity, cost, efficiency, performance, reliability, support and security risks. This paper is a case study that review recent technologies developed for Big Data. It aims to help to select and adopt the right combination of different Big Data technologies according to their technological needs and specific applications’ requirements.

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Keywords

Big Data, deployment complexity, volume, variety, velocity.

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