The full form of YARN is Yet Another Resource Negotiator.

The Hadoop platform has several benefits, which makes it the platform of choice for big data analytics. Hadoop is flexible and cost-effective, as it has the ability to store and process huge amount of any kind of data (structured, unstructured) quickly and efficiently by using a cluster of commodity hardware. By means of resource pooling, more processing power is available in the cluster in a cost-effective manner than on a single server. Moreover, Hadoop is massively scalable as more compute nodes can be easily added in the cluster if more processing power is required. Likewise, Hadoop has a very high degree of fault tolerance; if one node in the cluster fails, the processing tasks are redistributed among the other nodes in the cluster, and multiple copies of the data is stored in the Hadoop cluster. Hadoop is made up of 4 core modules: the Hadoop Distributed File System (HDFS), Yet Another Resource Negotiator (YARN), Hadoop Common and MapReduce as shown in Fig. 2.2. The Hadoop common is simply a set of libraries and utilities used by the other Hadoop modules.