Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 3 - Prepare 2019 Data

The video tutorial covers the process of reading 2019 data from a directory using modular programming. It emphasizes the importance of separating processes into modules for better maintenance. The tutorial guides viewers through renaming files, creating a new Python notebook, importing necessary libraries, and setting up a Spark session. It also demonstrates reading data from a directory and handling errors, concluding with a readiness to answer business questions.

What is the purpose of the variable 'source_data_path'?

How is the full path for reading data constructed in the text?

What issue was encountered when trying to read the data frame, and how was it resolved?