What is the primary benefit of using compression in Hadoop's MapReduce jobs?
- Enhanced Data Security
- Faster Data Transfer
- Improved Data Accuracy
- Reduced Storage Space
The primary benefit of using compression in Hadoop's MapReduce jobs is to reduce storage space. Compressing data before storing it allows for more efficient use of storage resources, enabling Hadoop clusters to handle and process larger volumes of data effectively. It doesn't directly impact data transfer speed or enhance data security but contributes to storage optimization.
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