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The Driver Program then creates a **DAG (Directed Acyclic Graph)** of operations. This DAG represents the sequence of transformations and actions that need to be performed. Think of the DAG as a flowchart that shows how your data will flow through the application. Each node in the DAG represents an RDD, and each edge represents a transformation. The DAG is a crucial part of Spark's execution model. It allows Spark to optimize the execution plan and avoid unnecessary computations. For example, Spark can reorder transformations to minimize data shuffling or combine multiple transformations into a single stage.
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6. **Complete Your Purchase:** Once you've verified that the discount has been applied, complete your purchase by entering your payment and shipping information.
