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Answer Posted / Anupam Bharati
Spark tends to be faster than Hadoop for several reasons: 1) In-memory processing reduces the need for disk I/O, 2) RDDs (Resilient Distributed Datasets) have fault tolerance without requiring checkpointing, and 3) Spark's DAG Scheduler optimizes the data flow between tasks.
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