Answer / Sunil Kumar Dwivedi

Key features of Apache Spark include: 1) Speed - Spark can process large datasets much faster than Hadoop MapReduce. 2) Scalability - Spark can handle very large amounts of data and scale out to thousands of nodes. 3) Simplicity - Spark provides an easy-to-use API for developing big data applications. 4) Flexibility - Spark supports a wide variety of data sources and can be used for batch, streaming, and interactive processing.

What is rdd map?

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Explain schemardd?

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What is a partition in spark?

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How do you process big data with spark?

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How do you parse data in xml? Which kind of class do you use with java to parse data?

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What is spark etl?

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How do I download adobe spark?

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Are spark dataframes immutable?

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Please provide an explanation on DStream in Spark.

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What is meant by rdd in spark?

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What is vectorized query execution?

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Explain the concept of resilient distributed dataset (rdd).

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