Answer / Vimal Kumar Singh

Data can be represented in Apache Spark using DataFrames, RDDs (Resilient Distributed Datasets), and DataSets. DataFrames offer a programming interface similar to SQL, while RDDs provide more flexibility but less optimization.

Is spark an etl?

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Describe the distnct(),union(),intersection() and substract() transformation in Apache Spark RDD?

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Why spark is faster than hadoop?

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What is paired rdd in spark?

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Where is apache spark used?

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How can you achieve high availability in Apache Spark?

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What are accumulators in spark?

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How can apache spark be used alongside hadoop?

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Is scala required for spark?

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Is there any benefit of learning MapReduce, then?

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What is spark lineage?

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Do you need to install Spark on all nodes of Yarn cluster while running Spark on Yarn?

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