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Show some utilization situations where Spark beats Hadoop in preparing?
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Answer Posted / Piyush Kumar Singh
Spark excels over Hadoop MapReduce in cases where iterative computations, streaming data processing, or machine learning algorithms are needed. It also outperforms Hadoop when working with small to medium-sized datasets due to its in-memory caching and faster processing speed.
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