How does Hadoop's YARN framework enhance resource management compared to classic MapReduce?
- Dynamic Resource Allocation
- Enhanced Data Locality
- Improved Fault Tolerance
- In-memory Processing
Hadoop's YARN (Yet Another Resource Negotiator) framework enhances resource management by introducing dynamic resource allocation. Unlike classic MapReduce, YARN allows applications to request and use resources dynamically, optimizing resource utilization and making the cluster more flexible and efficient.
Loading...
Related Quiz
- Considering a scenario with high concurrency and the need for near-real-time analytics, which Hadoop SQL tool would you recommend and why?
- The ____ feature in HDFS allows administrators to specify policies for moving and storing data blocks.
- Advanced Hadoop applications might use ____ InputFormat for custom data processing requirements.
- In the context of cluster optimization, ____ compression reduces storage needs and speeds up data transfer in HDFS.
- What type of language does Hive use to query and manage large datasets?