Answer / Narendra Pal Singh

The fold() operation in Spark is a reduction function that reduces a RDD (Resilient Distributed Dataset) to a single value by iteratively combining all elements using an associative binary function. The fold() function takes two arguments: a seed value and a function for combining values. Unlike reduce(), fold() returns the initial seed value instead of the accumulator after iteration.

Illustrate some demerits of using Spark.

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Do streamers make money from sparks?

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What is an "Accumulator"?

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Define fold() operation in Apache Spark?

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What are features of apache spark?

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How can Spark be connected to Apache Mesos?

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Does spark load all data in memory?

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Is Apache Spark a good fit for Reinforcement learning?

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What are the components of Apache Spark Ecosystem?

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Name the two types of shared variable available in Apache Spark?

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How Spark handles monitoring and logging in Standalone mode?

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Does spark need hdfs?

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