Answer / Navneet Sahu

While both are frameworks for large-scale data processing, Apache Spark differs from MapReduce in several ways. Spark provides a more user-friendly API, supports iterative computation, offers in-memory processing (RDDs), and has faster performance due to its ability to run on the same JVM as batch jobs and real-time applications.

Who uses apache spark?

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How can Spark be connected to Apache Mesos?

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Explain Spark Driver?

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What is apache spark used for?

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What is apache spark engine?

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What is a pipelinedrdd?

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Where is spark rdd?

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What is Directed Acyclic Graph in Apache Spark?

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How will you calculate the number of executors required to do real-time processing using Apache Spark? What factors need to be considered for deciding on the number of nodes for real-time processing?

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How do I clear my spark cache?

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What is an rdd?

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Explain Spark Executor

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