Дополнительная информация:

Apache Hadoop - это программная инфраструктура с открытым исходным кодом, написанная на Java для распределенного хранения и распределенной обработки очень больших наборов данных на компьютерных кластерах, созданных из товарного оборудования.

скрытый текст

Apache Hadoop consists of two core components, one being Hadoop Distributed File System(HDFS) and second is the Frame-work and APIs for MapReduce jobs.
In this example, we are going to demonstrate the second component of Hadoop framework called MapReduce. If you are
interested in understanding the basics if HDFS, the article Apache Hadoop Distributed File System Explained may be of help.
Before moving to the example of MapReduce paradigm, we shall understand what MapReduce actually is.
MapReduce is basically a software framework or programming paradigm, which enable users to write programs as separate components so that data can be processed parallelly across multiple systems in a cluster. MapReduce consists of two parts Map and Reduce.