What does YARN stand for in the context of Hadoop?

What does YARN stand for in the context of Hadoop?

• A. Yet Another Resource Network
• B. Yet Another Resource Negotiator
• C. Yet Another Resource Node
• D. Yet Another Resource Name

Answer: (B)

YARN stands for "Yet Another Resource Negotiator." In the context of Hadoop, YARN is a resource management layer that allows multiple data processing engines to handle data stored in a single platform, thus enhancing the functionality and performance of the Hadoop ecosystem. YARN separates the resource management and job scheduling capabilities from the data processing components, which is a significant evolution from the original MapReduce framework used in Hadoop. This architecture allows for better utilization of resources and scalability as it enables different applications and frameworks to run on the Hadoop cluster without conflicts. The name itself reflects the idea of building upon existing concepts within resource management systems, hence the use of "Yet Another" to convey a sense of familiarity while still innovating in the approach to resource negotiation and job management within distributed computing environments.

YARN stands for "Yet Another Resource Negotiator." In the context of Hadoop, YARN is a resource management layer that allows multiple data processing engines to handle data stored in a single platform, thus enhancing the functionality and performance of the Hadoop ecosystem.

YARN separates the resource management and job scheduling capabilities from the data processing components, which is a significant evolution from the original MapReduce framework used in Hadoop. This architecture allows for better utilization of resources and scalability as it enables different applications and frameworks to run on the Hadoop cluster without conflicts.

The name itself reflects the idea of building upon existing concepts within resource management systems, hence the use of "Yet Another" to convey a sense of familiarity while still innovating in the approach to resource negotiation and job management within distributed computing environments.