PySpark and AWS: Master Big Data with PySpark and AWS - Solution (Group By)

This video tutorial covers data processing using Spark DataFrames. It begins with reading data from a CSV file and creating a DataFrame. The tutorial then demonstrates how to group data by course to count student enrollments, followed by grouping by gender to display enrollments. It further explains calculating the total marks achieved by each gender in each course using sum aggregation. Finally, it covers displaying minimum, maximum, and average marks achieved in each course by age group, emphasizing the importance of the group by feature in Spark.

Describe the process of creating a Spark session and reading data from a CSV.

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What aggregation functions are used to display minimum, maximum, and average marks?

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What is the significance of using group by in data analysis?

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