Abstract

Big data is a technology to access huge data sets, have high Velocity, high Volume and high Variety and complex structure with the difficulties of management, analyzing, storing and processing. The paper focuses on extraction of data efficiently in big data tools using R programming techniques and how to manage the data and the components that are useful in handling big data. Data can be classified as public, confidential and sensitive. This paper proposes the big data applications with the Hadoop Distributed Framework for storing huge data in cloud in a highly efficient manner. This paper describes the tools and techniques of R which is integrated with Big data tools for the parallel processing and statistical method. Using RHadoop data tools helps organization to resolve the scalability, issues and solve their predictive analysis with high performance by using Map reducing Framework. U. Prathibha | M. Thillainayaki | A. Jenneth"Big Data Analysis with R Programming and RHadoop" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15705.pdf http://www.ijtsrd.com/computer-science/other/15705/big-data-analysis-with-r-programming-and-rhadoop/u-prathibha

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