Following the initial rise of Hadoop, data teams across industries have adopted Apache Spark as the go-to framework for distributed big data processing.The open-source platform has largely replaced Hadoop's Mapreduce by enabling faster in-memory processing of datasets, and handling use cases that Hadoop could not manage.
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