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Visualization of data analysis graphs with RHadoop

Abstract:

The present work presents an analysis to terms related to Big Data, Hadoop and presents results by means of RHadoop the combination of two technologies as are R and Hadhoop, these technologies are complemented in an advantageous way, because it allows the analysis and visualization of large volumes Of data, in addition a case study of the tweet is generated that generates from a user account using Hadoop (Apache Hive) and the presentation of reports with RHadoop that support to the Managers of the organizations to a better decision-making. In order to do this, a detailed search has been made regarding Big Data, Hadoop Framework and the means of visualization and generation of a Data Volume with RHadoop, in which a synthesis of the different important terms was made, Arriving to determine different areas of application, in addition is presented a case study of a data volume with Hadoop applied to tweets generated from the social network Twitter. In this context it is concluded that with the help of the Hadoop Framework we can process a large volume of data, since its architecture has the Hadoop Distributed File System that provides a high performance of access to data of the application and Apache Hive that executes the processes In parallel with the integration of tools such as RHadoop allows the analysis of a large amount of information and submit reports that support the decision-making of organizations.