An Effective Data Analysis System on Big Data Analytics

Abstract

Big Data Analytics is a very important topic which have recently gained interest among researches in the Information and technology areas, which provide a vast amount of user generated annotations and reflect the interests of millions of people. In this thesis, I proposed and discuss about a system which is very effective and organization benefited model for analyze the unstructured data using Apache Hadoop framework. The initial findings obtained from analyzing social media data like reddit.com, facebook.com. Apart from investigating bookmarking and tagging patterns in that data, we discuss evidence that how the unstructured data is to push this system to analyze and how the system process that types of data. Social bookmarking systems data are an example of this system input. Here I present a method, how to analyze data in an efficient way in this system. This system is not only for analyze social media data it analyzes any kind of unstructured data in data analysis and provide conclusions and directions for future research. All of researcher who are select their research field on data analysis they are very easily implement their concept in this model. This is a conceptual model of a data analysis using big data technology. This is not a research work it is a system where other researchers can research and analyze their idea in this system. I think it will be the appropriate system in this modern Information Technology world.