Answer / Shweta Kashyap

"Apache Spark processes large datasets by dividing the data into smaller pieces called Resilient Distributed Datasets (RDDs) and distributing these pieces across a cluster of machines. Each machine runs tasks that operate on its assigned portion of the data, and results are aggregated to produce the final output. Spark also provides high-level APIs for common big data processing tasks like SQL, streaming, and machine learning."n

Can I learn spark without hadoop?

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How much faster is Apache spark than Hadoop?

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What operations RDD support?

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Explain transformation in rdd. How is lazy evaluation helpful in reducing the complexity of the system?

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Do we need to install scala for spark?

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How is rdd fault?

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What is vectorized query execution?

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Is it necessary to install spark on all the nodes of a YARN cluster while running Apache Spark on YARN ?

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What are the features of RDD, that makes RDD an important abstraction of Spark?

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What is spark driver application?

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How apache spark works?

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What is project tungsten in spark?

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