Spark Programming in Python for Beginners with Apache Spark 3 - Summarizing Spark Execution Models - When to Use What?

The video tutorial explains the Spark client-server execution model, focusing on cluster managers and execution modes. It covers the decision-making process for choosing between local and YARN cluster managers, and discusses different cluster setups, including on-premise and cloud options. The tutorial also explains the two execution modes supported by Spark: client mode and cluster mode. Finally, a practical demonstration of these execution modes is provided, showcasing the driver and executors in action.

Describe the execution modes supported by Spark and when to use each.

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What is the significance of the YARN cluster manager in Spark applications?

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