BibTeX:

@article{IJIRSTV2I2096,
     title={Big Data Analytics - A Study of R Tool},
     author={Arun Elangovan, S.S.Aravinth, S.Habipriya, S.Sowmya and G.Madhubala},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={2},
     pages={286--288},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I2096.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Big data is an evolving technology which totally describes the storage of unstructured data with sizes more than Terabytes. Obviously it has a massive volume of unstructured data that is so large which is difficult to be processed by traditional database and software techniques. It is a new era in data exploration and utilization. To analyse this big data analytics has been emerged. Big data analytics is just a process of collecting, framing, organizing and analysing large sets of data to discover patterns and useful information. Businesses are speedily finance additional in Hadoop to manage analytic knowledge stores thanks to its flexibility, quantifiability and also it is of relatively low cost. However, Hadoop tooling for analytics is not that much familiar. This makes it tough for analysts to use Hadoop while not important further coaching, and it additionally limits the flexibility of businesses to drive worth from massive information. R tool will overcome all this riddles. Open source R tool, is the standard platform for modern analytics. R tool will make it easier for the analysts in their performance. It runs in Hadoop. It allows users to perform advanced analysis on massive information whereas working completely within the acquainted R surroundings. This package distributes work across the nodes and distributed information of Hadoop with none advanced programming. R tool has become the foremost well-liked language for information science and it's a necessary tool for finance and analytics.. Representing complex data with charts and graphs, it goes far beyond the traditional bar chart. R tool includes data manipulation, statistics and chart that today’s data scientist could ever need. There are many reasons behind R’s growing popularity, including its flexibility, rich graphics, broad ecosystem and comprehensive library of more than five thousand packages. However, since open source R runs in memory and lacks a native distributed computing framework, it is ill suited to working with large data sets. Revolution R Enterprise (RRE), a product from Revolution Analytics, is a Big Data, Big Analytics Platform that supports open source R. Revolution R Enterprise extends an increased and supported version of R with a distributed computing framework, Big Data connectivity tools, an integrated development environment and enterprise deployment tools.

R-Tool, Revolutionary Analytics, Big Data, Distributed Computing