Apache Spark 3 for Data Engineering and Analytics with Python - Spark Transformations and Actions Part 2

This video tutorial provides an overview of Spark transformations and actions. It explains the difference between narrow and wide transformations, highlighting how narrow transformations operate within a single partition without data shuffling, using the filter function as an example. Wide transformations, such as group by and order by, require data shuffling across partitions. The tutorial also covers actions in Spark, which are operations that do not result in a new RDD. The concepts discussed are foundational for understanding the directed acyclic graph in Spark UI.

Describe the process of shuffling in Spark.

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What is the significance of actions in Spark, and how do they differ from transformations?

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