In a scenario where data skew is impacting a MapReduce job's performance, what strategy can be employed for more efficient processing?
- Combiners
- Data Replication
- Partitioning
- Speculative Execution
When dealing with data skew, using Combiners in a MapReduce job can help improve efficiency. Combiners perform local aggregation on the Mapper side, reducing the amount of data shuffled between Map and Reduce tasks and mitigating the impact of skewed data distribution.
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