Answer / Anand Kumar Sagar

One significant drawback of Spark is its resource consumption, especially for smaller datasets. Since Spark caches data in memory, it can consume a lot of resources unnecessarily when dealing with small amounts of data. Additionally, Spark's speed advantage over MapReduce diminishes for small datasets because of the overhead involved in managing distributed computations.

Explain briefly what is Action in Apache Spark? How is final result generated using an action?

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Can you explain accumulators in apache spark?

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What can skew the mean?

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What is the role of Spark Driver in spark applications?

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Is spark written in java?

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Explain accumulators in apache spark.

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What is Spark Driver?

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What is a "worker node"?

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Explain the use of broadcast variables

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