Interactive Operations
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MapReduce Vs Spark RDDDistributedSystem/Spark 2019. 9. 25. 08:16
1. Overview MapReduce is widely adopted for processing and generating large datasets with a parallel, distributed algorithm on a cluster. It allows users to write parallel computations, using a set of high-level operators, without having to worry about work distribution and fault tolerance. But Data sharing is slow in MapReduce due to replication, serialization, and disk IO. Most of the Hadoop a..