Data Analysis using Hadoop

The rapid growth of Internet and WWW has increases to vast amounts of information available online. Big data is an evolving term that describes an voluminous amount of structured, semistructured and understructed data that has the potential to be mined for information. For this nowadays various Data intensive technologies (Map Reduce) are used which uses computer applications, which requires large volumes of data and most of their processing time to I/O and manipulation of data .In order to store, manage, access, and process vast amount of data available online and the data that is created in structured and unstructured form, Data intensive computing is needed which satisfies the need to search, analyze, mine, and visualize the large amount of data and information. We will analysis already available Data intensive technologies with Hadoop Data intensive to provide high performance, should be fault resilient over hardware failures, communications errors, and software bugs and executing a variety of data intensive analysis benchmarks.