Apache Spark 3 for Data Engineering and Analytics with Python - Spark Application and Session

This video tutorial guides viewers through setting up a project directory, launching Jupyter Notebook, and creating a Spark session. It covers importing necessary libraries and functions for data aggregation and explains the core components of a Spark application, including the Spark driver program and Spark SQL. The tutorial concludes with a recap of key concepts and encourages further exploration of Spark classes and functions.

What is the first step in preparing for the sales data spark program?

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How do you create a new directory for sales data?

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What command is used to start the Jupyter notebook?

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What libraries need to be imported to create a Spark session?

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Explain the purpose of the Spark session object.

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What is the significance of the app name function in Spark?

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How does the Spark driver program facilitate communication?

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