For a MapReduce job processing time-sensitive data, what techniques could be employed to ensure faster execution?
- Data Compression
- In-Memory Computation
- Input Splitting
- Speculative Execution
Speculative Execution is a technique employed for time-sensitive data processing in MapReduce. It involves running duplicate tasks on different nodes and using the result from the first one to finish. This helps mitigate delays caused by slow-performing tasks.
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