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Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, , , , , Cauley, . Franklin, , Ion Stoica University of California, Berkeley We present Resilient Distributed Datasets (RDDs), a dis- tributed memory abstraction that lets programmers per- form in-memory computations on large clusters in a fault-tolerant manner. RDDs are motivated by
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