MapReduce refers to a programming model that is suitable for processing big amounts of data. For example, Hadoop is capable of executing a MapReduce program written in several programming languages, including Java, C++, Python, Ruby, and others. MapReduce is designed to efficiently process a huge volume of data, by connecting many commodity computers together, to work in parallel. In addition to this, MapReduce ties smaller and more reasonably priced machines together into a single, cost-effective commodity cluster. MapReduce achieves this efficiency by dividing a task into smaller parts and assigning them to several computers. Later, the results are collected in a single location and integrated, in order to form the resulting dataset.