Today very large amount of data is available in the world. Therefore, there is an immediate need for maintaining, managing and accessing the large amount of data. Major IT players Like Amazon, Google has been extensively working on Cloud Computing since year 2000. In year 2006 August, Amazon introduced its Elastic Compute Cloud for Amazon Web Services. Later in year 2008, April Google released Beta version of Google App Engine. The world is familiar with cloud and in some manner using cloud, so the companies now have abundance of data. There are many storage options available for storing million user’s data such as Hard Disk, CD, DVD Mobile Phone and Internet Cloud Area etc. Three types of data is available that is structured, semi- structured and unstructured. The challenge faced by the companies is of maintaining and analyzing the huge data. It is essential for the companies to retrieve the best processed information out of the data available. Now the issue arises how to analyses, process large data in cloud? One of the finest solutions to resolve the above-mentioned problem is R programming. The authors in this research paper have tried to focus on R programming, as it is used for analyzing and accessing the data using Hadoop. R being at a developing stage utilizes familiar scripting platforms such as python, pig for reducing processing and generate faster results. This research paper will aim at identifying the R programming Integration with Hadoop. The paper will shed light on how R programming is beneficial for analyzing Big Data using Hadoop.