In a scenario involving iterative machine learning algorithms, which Apache Spark feature would be most beneficial?

  • DataFrames
  • Resilient Distributed Datasets (RDDs)
  • Spark MLlib
  • Spark Streaming
In scenarios with iterative machine learning algorithms, Spark MLlib would be most beneficial. MLlib is Spark's machine learning library that provides high-level APIs for machine learning tasks, including iterative algorithms commonly used in machine learning workflows.
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