Abstract: – The term ‘Big Data’, refers to data sets whose size (volume), complexity (variability), and rate of growth (velocity) make them difficult to capture, manage, process or analyzed. Big data is a collection of large data sets that include different types such as structured, unstructured and semi-structured data. Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. In this paper, we have proposed a recommendation system for the large amount of data available on the web in the form of ratings, reviews, opinions, complaints, remarks, feedback, and comments about any item (product, event, individual and services) using Hadoop Framework. The main objective of the proposed study is to provide a better and significant research perspective and an overview of data analysis techniques which are referred to the papers found on the web which will be quite helpful for the future research prospective of this domain. Big Data Analysis
Keywords:-Big Data Analysis, Hadoop Framework, Recommendation System, Mahout, HDFS.
INTRODUCTION ig Data is as a collection of large dataset that cannot be processed using traditional computing techniques .Big Data is not merely a data rather it has become a complete subject which involve various tools, techniques and framework. The biggest phenomenon that has captured the attention of the modern computing industry today since the ―Internet‖ is ―Big Data‖. The fundamental reason why ―Big Data‖ is popular today is because the technology platforms that have emerged along with it provide the capability to process data of multiple formats and structures without worrying about the constraints associated with traditional systems and database platforms. The need of big data generated from the large companies like facebook, yahoo, Google, YouTube etc for the purpose of analysis of enormous amount of data also Google contains the large amount of information
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