Apache Spark is a popular model for large scale data processing at present, which is fast, general and easy. Compared with the MapRe-duce computing framework, Spark is efficient in iterative machine learning algorithms and interactive data mining applications while re-taining the compatibility, scalability and fault-tolerance of MapReduce. With its in-memory computing, Spark is up to 100x faster than Hadoop MapReduce in memory. Presents the basic conception, component and the deploying mode of Spark, introduces the internal ab-straction and the programming model, gives the programming examples.
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维普
