MapReduce with R
Big Data is a very popular topic these last years. The big data analytics refers to the process to discovering useful information or knowledge from big data. That is an important issue for organizations. In concrete terms, the aim is to extend, adapt or even create novel exploratory data analysis or data mining approaches to new data sources of which the main characteristics are “volume”, “variety” and “velocity”. Distributed computing is essential in the big data context. It is illusory to want infinitely increase the power of servers for following the exponential growth of information to process. The solution depends on the efficient cooperation of a myriad of networked computers, ensuring both the volume management and computing power. Hadoop is a solution commonly cited for this requirement. This is a set of algorithms (an open-source software framework written in Java) for distributed storage and distributed processing of very large data sets (Big Data) on computer clusters built ...