PySpark and AWS: Master Big Data with PySpark and AWS - RDD (saveAsTextFile)

The video tutorial explains how to save an RDD to a text file in Spark using the 'save as text file' action. It covers specifying file paths, understanding partitions, and the difference between transformations and actions. The tutorial includes a practical example demonstrating these concepts, emphasizing the importance of partitions in data processing and how Spark handles operations in parallel.

Explain the difference between the 'flatMap' and 'map' transformations in Spark.

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What is the role of actions in Spark, particularly in relation to transformations?

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How does Spark ensure parallel processing of data across partitions?

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What are the implications of changing the number of partitions in an RDD?

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