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.

Name the components of spark ecosystem.

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Is Apache Spark a good fit for Reinforcement learning?

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Does spark use java?

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Where are rdd stored?

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List the functions of Spark SQL?

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What file systems does spark support?

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Define the level of parallelism and its need in spark streaming?

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How is dag created in spark?

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What is the driver program in spark?

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Explain foreach() operation in apache spark?

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Explain the repartition() operation in Spark?

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What is difference between spark and hadoop?

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