Answer / Rashi Gupta

RDD (Resilient Distributed Dataset) Map is a transformation operation in Apache Spark that applies a user-defined function to each element of an RDD. The resulting collection is another RDD, with the same type as the input data but containing transformed elements.

To use Spark on an existing Hadoop Cluster, do we need to install Spark on all nodes of Hadoop?

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Explain accumulators in apache spark.

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Explain Spark leftOuterJoin() and rightOuterJoin() operation?

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What is the significance of Sliding Window operation?

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Is spark faster than hadoop?

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Can spark work without hadoop?

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Which are the various data sources available in spark sql?

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What operations does rdd support?

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When running Spark applications, is it necessary to install Spark on all the nodes of YARN cluster?

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Does spark use yarn?

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How many partitions are created by default in Apache Spark RDD?

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Can we run spark without hadoop?

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