Apache Yarn
Apache Yarn (Yet Another Resource Negotiator) is a cluster management technology and resource scheduler for distributed computing frameworks like Apache Hadoop. It enables efficient resource allocation and job scheduling across large clusters of machines, separating resource management from application logic to improve scalability and multi-tenancy. Yarn allows multiple data processing engines (e.g., MapReduce, Spark, Flink) to run on the same Hadoop cluster by managing CPU, memory, and other resources.
Developers should learn Apache Yarn when working with big data ecosystems, especially in Hadoop-based environments, as it is essential for managing and scaling distributed applications. It is crucial for scenarios requiring efficient resource utilization across multiple concurrent jobs, such as data processing pipelines, ETL workflows, and real-time analytics. Yarn is particularly valuable in enterprise settings where cluster resources need to be shared among diverse teams and applications.