Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 1 – Brief

This video tutorial guides viewers through a data preparation challenge using Spark in a Jupyter Notebook. It covers importing libraries, creating a Spark session, setting up a schema, reading CSV files, and displaying data. The tutorial emphasizes the importance of cleaning raw data and encourages viewers to practice the tasks independently, referring to attached documentation for guidance.

What is the first task you need to perform in the challenge?

Why is it important to set the columns to a string data type initially?

What steps are involved in reading CSV files into a dataframe?

What should you do after downloading the sales data zip file?

What are the tasks you need to complete after creating the dataframe?