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How DAG functions in Spark?
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Answer / Pankaj Kumar Singh
Directed Acyclic Graph (DAG) in Spark represents the data flow between Spark tasks and transformations. It is a collection of vertices (tasks) connected by edges (dependencies). When a Spark job is submitted, it gets converted into a DAG where each vertex represents an action or transformation, and the edges represent the dependencies between them.
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