Big data analytics
is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business
benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop
and MapReduce, offer alternatives to traditional data warehousing.
Big Data Analytics with R and Hadoop
is focused on the techniques of integrating R and Hadoop
by various tools such as RHIPE and RHadoop. A powerful data analytics
engine can be built, which can process analytics
algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics
operations of R, MapReduce, and HDFS of Hadoop.