Answer / Prashant Kumar Chaturvedi

Spark SQL is similar to SQL in that it uses SQL-like queries, but it operates on Spark's DataFrame or DataSet API, which provides a programming interface for big data sets. HQL (Hibernate Query Language) is used for querying objects in Java applications using the Hibernate ORM framework.

Who uses apache spark?

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How can data transfer be minimized when working with Apache Spark?

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What languages support spark?

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How do you process big data with spark?

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Define RDD?

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Can we do real-time processing using spark sql?

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How can we create RDD in Apache Spark?

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Can we install spark on windows?

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What do you understand about yarn?

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Is there any benefit of learning MapReduce, then?

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Explain the use of File system API in Apache Spark

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Why we need compression and what are the different compression format supported?

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