Answer / Andleeb Sayyed

Apache Spark offers several key features: It provides an in-memory caching system to improve the speed of data processing; it offers APIs for Scala, Java, Python, and R to build scalable applications easily; it supports iterative algorithms out-of-the-box, allowing developers to write complex iterative jobs with minimal overhead; and it provides a variety of built-in libraries for machine learning, graph processing, and streaming data.

What are the languages in which Apache Spark create API?

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What is an accumulator in spark?

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Name the Spark Library which allows reliable file sharing at memory speed across different cluster frameworks.

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Explain the flatMap() transformation in Apache Spark?

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What is setappname spark?

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What is executor in spark?

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What is python spark?

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Is it necessary to start Hadoop to run any Apache Spark Application ?

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What are the types of Transformation in Spark RDD Operations?

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Explain the processing speed difference between Hadoop and Apache Spark?

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How many types of Transformation are there?

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What do you mean by Persistence?

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