Answer / Savitri Devi

SchemaRDD is a class in Apache Spark that allows creating RDDs from structured data sources like CSV, JSON, or Parquet files. It's useful for loading and transforming structured data into RDD format.

Define the term ‘Lazy Evolution’ with reference to Apache Spark

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What is the use of spark driver, where it gets executed on the cluster?

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Can you explain broadcast variables?

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What is salting in spark?

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What are shared variables in spark?

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Which language is not supported by spark?

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What are the various functions of Spark Core?

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What are the ways in which Apache Spark handles accumulated Metadata?

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What is the default partition in spark?

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What is the abstraction of Spark Streaming?

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What are Actions? Give some examples.

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Can you run spark without hadoop?

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