Answer / Vishal Kumar Pandey

Spark has several limitations: 1) High memory consumption due to in-memory data storage. 2) Scaling can be challenging for very large clusters due to network overhead. 3) Complexity and resource usage during iterative algorithms. 4) Limited support for streaming data when compared to dedicated streaming platforms.

What is SparkSession in Apache Spark? Why is it needed?

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How does spark program work?

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Explain sum(), max(), min() operation in Apache Spark?

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What can skew the mean?

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Does spark run mapreduce?

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Does spark need hdfs?

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What is rdd map?

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

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Is it possible to run Apache Spark on Apache Mesos?

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Are spark dataframes immutable?

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What is Spark Driver?

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What are the advantages of DataFrame?

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