What is the purpose of Hadoop YARN?

Study for the CIW Data Analyst Test. Prepare with flashcards and multiple choice questions, each with hints and explanations. Get ready for your exam!

The purpose of Hadoop YARN (Yet Another Resource Negotiator) is primarily to serve as a resource management platform within the Hadoop ecosystem. YARN allows for the efficient allocation of system resources among various applications running on a Hadoop cluster. By managing resources such as CPU, memory, and network capacity, YARN enables multiple data processing frameworks like MapReduce, Spark, and others to run concurrently, maximizing resource utilization and improving overall system efficiency.

In a Hadoop environment, YARN acts as an intermediary layer that decouples the resource management from the data processing components. This architecture facilitates better scalability and allows different applications to work independently while sharing the underlying hardware effectively. Thus, the primary advantage of YARN is its ability to manage and allocate resources dynamically, which is crucial for handling large-scale data processing workloads.

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