Apache Spark vs Hadoop
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Hadoop vs Spark<br>This section list the differences between Hadoop and Spark. The differences will be listed on the basis of some of the parameters like performance, cost, machine learning algorithm, etc. <br>Hadoop reads and writes files to HDFS, Spark processes data in RAM using a concept known as an RDD, Resilient Distributed Dataset. <br>Spark can run either in stand-alone mode, with a Hadoop cluster serving as the data source, or in conjunction with Mesos. In the latter scenario, the Mesos master replaces the Spark master visit:-https://hkrtrainings.com/apache-spark-vs-hadoop
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Apache Spark vs Hadoop
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