Answer / Mayank Srivastava

"Apache Spark" is an open-source, distributed computing system used for big data processing. It provides a simple and efficient API to perform tasks like batch processing, real-time data streaming, machine learning, and graph analytics on large datasets. Spark supports multiple programming languages such as Scala, Java, Python, and R.

Explain pipe() operation. How it writes the result to the standard output?

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What is an "Accumulator"?

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Explain the processing speed difference between Hadoop and Apache Spark?

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What is mlib?

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Explain fullOuterJoin() operation in Apache Spark?

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How is streaming implemented in spark? Explain with examples.

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What happens to rdd when one of the nodes on which it is distributed goes down?

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How can I improve my spark performance?

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Is apache spark worth learning?

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What is the difference between spark and python?

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What is heap memory in spark?

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How is streaming implemented in spark?

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