Spark Programming in Python for Beginners with Apache Spark 3 - Execution Methods - How to Run Spark Programs?

The video tutorial introduces Apache Spark, a distributed computing platform, and discusses how to create and execute Spark programs. It covers two main methods for running Spark programs: interactive clients and job submission. The tutorial explains the use of Spark shell and notebooks for learning and development, and the Spark Submit utility for production use. It also highlights stream and batch processing applications and mentions vendor-specific alternatives for submitting Spark jobs.

What are the differences between stream processing and batch processing in Spark?

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What is the Spark Submit utility used for?

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How do cloud-based Spark vendors differ in submitting Spark applications?

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