Answer / Chandika Prasad Upadhyay

Apache Spark and Hadoop are both big data processing frameworks but have different focuses. Hadoop focuses on batch processing using MapReduce, while Spark supports both batch processing and interactive querying with a faster processing speed.

How does spark program work?

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Explain the operation reduce() in Spark?

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How spark works on hadoop?

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What do you understand by the partitions in spark?

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How to identify that the given operation is transformation or action?

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How is RDD in Apache Spark different from Distributed Storage Management?

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What is the difference between dataframe and dataset in spark?

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Which file systems does Spark support?

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Compare hadoop & spark?

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How do I start a spark master?

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What are the functions of "Spark Core"?

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Is spark streaming real time?

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