An indepth comparative study of distributed data processing frameworks: Apache Spark, Apache Flink, and Hadoop MapReduce
Expressing and comparing the performance, scalability, fault tolerance, and architecture of each framework to help companies make informed decisions about which framework to choose. Ensuring fault tolerance and scalability for batch processing tasks.
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