In a scenario where data processing efficiency is paramount, which Hadoop programming paradigm would be most effective?
- Flink
- MapReduce
- Spark
- Tez
In scenarios where data processing efficiency is crucial, MapReduce is often the most effective Hadoop programming paradigm. It excels at processing large datasets in a distributed and parallel fashion, making it suitable for scenarios prioritizing efficiency over real-time processing capabilities.
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