Big Data Analysis using R and Hadoop
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2014, Vol 17, Issue 5
Abstract
The way Big data - heavy volume, highly volatile, vast variety and complex data - has entered our lives, it is becoming day by day difficult to manage and gain business advantages out of it. This paper describes as what big data is, how to process it by applying some tools and techniques so as to analyze, visualize and predict the future trend of the market. The tools and techniques described in this paper using the best of R language which is the future of the statistics and the Hadoop which is a parallel processing for the data so as to get a blend of best data model being processed over Big data parallelly. The integration of R and Hadoop give us the brand new environment where in R code can be written and deployed in Hadoop without any data movement. Using R and Hadoop helps organization to resolve the scalability, issues and solve their predictive analysis with high performance. You can have a much better deep dive over the big data when combined R and Hadoop.
Authors and Affiliations
Anju Gahlawat
Keywords
Related Articles
- EP ID EP94479
- DOI -
- Views 99
- Downloads 0
Generalized Representation of the Planer Kinematic Chains having Different Types of Kinematic Pairs
Development of the method for generalizing the planer kinematic chains having same number of links but different kinematic pairs. By using link-link form of the incidence matrix or [JJM] Matrix. and elements of the matri...
Facial Expression Recognition System: A Practical Implementation
Facial expression is one of the most powerful and immediate means for human beings to communicate their emotions, intentions, and opinions to each other. Facial expressions also provide information about cognitive state,...
A Multidimensional Corporate Social Responsibility Study
This paper intends to contribute to a better understanding of the corporate social responsibility (CSR) in Portuguese Small and Medium Enterprises (SME) . In the Portuguese context, where SME represent the majority of co...
A Novel Approach for Watermarking using Dual Watermarking Technique
A Wavelet Watermarking and frequency domain feature based on adaptive watermarking algorithm is proposed. Many existing steganography methods hide more secret data into edged areas than smooth areas in the host image, wh...
Adsorption of Textile Wastes Containing Methylene Blue & Congo Red using Activated Carbon Produced from Coconut Shell
The use of low-cost, locally available, highly efficient, and eco-friendly adsorbents has been investigated as an ideal alternative to the current expensive methods of removing dyes from waste water. This study investiga...