In Hadoop, the ____ compression codec is often used for its splittable property, allowing efficient parallel processing.
- Bzip2
- Gzip
- LZO
- Snappy
In Hadoop, the Snappy compression codec is often used for its splittable property, enabling efficient parallel processing. Snappy is known for its fast compression and decompression speed, making it suitable for big data applications where performance is crucial.
Loading...
Related Quiz
- What is the impact of small files on Hadoop cluster performance, and how is it mitigated?
- In the context of the Hadoop ecosystem, what distinguishes Apache Storm in terms of data processing?
- ____ is the process in Hadoop that ensures no data loss in case of a DataNode failure.
- Advanced disaster recovery in Hadoop may involve using ____ for cross-cluster replication.
- In performance optimization, ____ tuning is critical for efficient resource utilization and task scheduling.