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 between similar 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 Map Reduce, 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 R-Hadoop.
A powerful data analytics engine can be built and process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics.
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The reason to suggest these training modes is, both the above training methods will give a comprehensive understanding and knowledge of the Big Data topic you are interested in. Yet another important thing to keep in mind is the training institute or mentors you choose to learn Big Data. You have a list of established Big Data training institutes in the United States here. Depending upon your convenience, you could either choose, In-class training or online training.