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Hadoop YARN is a specific component of the open source Hadoop platform for big data analytics, licensed by the non-profit Apache software foundation.
Major components of Hadoop include a central library system, a Hadoop HDFS file handling system, and Hadoop MapReduce, which is a batch data handling resource. In addition to these, there’s Hadoop YARN, which is described as a clustering platform that helps to manage resources and schedule tasks. The Apache software foundation, the license holder for Hadoop, describes Hadoop YARN as 'next-generation MapReduce’ or 'MapReduce 2.0.’
Experts explain that the key concept of YARN involves setting up both global and application-specific resource management components. This helps to allocate resources to particular applications and manage other kinds of resource monitoring tasks. In YARN, an application submission client submits an application to the YARN resource manager. YARN 'schedules’ applications in order to prioritize tasks and maintain big data analytics systems. This is just one part of a greater architecture for aggregating and sorting data, conducting specific queries to retrieve data, and otherwise using Hadoop and related tools to manipulate big data for business intelligence and much more. Businesses use these kinds of platforms to look at supply chains, document product and service operations, keep track of customer information, and for many other kinds of powerful data-driven and automated business processes.