Why is Spark 10x faster on disk than Hadoop MapReduce? I understand why it is 100x faster in memory, but not in disk.

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In Spark, a job is associated with a chain of RDD dependencies organized in a direct acyclic graph (DAG). Spark is *usually* faster than classic MR because Spark utilizes fair amount of Caching (RDD) and DAG Optimization techniques
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