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Explain the processing speed difference between Hadoop and Apache Spark?
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Answer Posted / Ram Prakash
Apache Spark processes data much faster than traditional MapReduce in Hadoop due to several reasons:n1) In-Memory Processing: Spark can cache data in memory, reducing disk I/O and improving processing speed.n2) Lazy Evaluation: Transformations in Spark are not executed immediately but only when an action is triggered, reducing overhead.n3) Faster Shuffle: Spark's shuffle operation is faster due to better sorting and merging algorithms.
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