Apache Spark 3 for Data Engineering and Analytics with Python - Spark Transformations and Actions Part 1

The video tutorial covers creating a Spark session, loading data into a DataFrame, and understanding the structure and schema of DataFrames. It demonstrates selecting specific columns, restarting the Spark session, and performing data aggregation by grouping and counting order IDs by region and country. The tutorial concludes with ordering results in descending order to identify regions with the highest sales.

How can you select specific columns from a DataFrame?

What steps are involved in grouping data by region and country?

How do you order the results of a DataFrame in descending order?