What is the difference between Apache Spark and Apache Hadoop MapReduce?
Some of the main differences between Apache Spark and Hadoop MapReduce are follows:
I. Speed: Apache Spark is 10X to 100X faster than Hadoop due to its usage of in memory processing.
II. Memory: Apache Spark stores data in memory, whereas Hadoop MapReduce stores data in hard disk.
III. RDD: Spark uses Resilient Distributed Dataset (RDD) that guarantee fault tolerance.
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