When dealing with a large dataset containing diverse data types, how should a MapReduce job be structured for optimal performance?
- Custom InputFormat
- Data Serialization
- Multiple MapReduce Jobs
- SequenceFile Input
Structuring a MapReduce job for optimal performance with diverse data types involves using appropriate Data Serialization techniques. This ensures efficient data transfer between Map and Reduce tasks, especially when dealing with varied data formats and structures.
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