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What are the disadvantages of using Apache Spark over Hadoop MapReduce?
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Answer / Mandhata Ram
Although Apache Spark is more powerful and faster than Hadoop MapReduce, it does have some disadvantages. One major disadvantage is that Spark has higher resource requirements for memory and CPU compared to MapReduce. Another disadvantage is that Spark's dynamic scheduling can lead to inefficiencies when running long-running jobs due to recomputation of intermediate results. Lastly, Spark's fault tolerance mechanisms consume more resources than those used by MapReduce.
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