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?

How do you create a new directory for sales data?

What command is used to start the Jupyter notebook?

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

Explain the purpose of the Spark session object.

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

How does the Spark driver program facilitate communication?