Abstract: Big data clustering on Spark is a practical method that makes use of Apache Spark’s distributed computing capabilities to handle clustering tasks on massive datasets such as big data sets.

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Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

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