Apache Spark 3 for Data Engineering and Analytics with Python - Rows and Union

This tutorial teaches how to create individual row items in PySpark and package them into a DataFrame. It covers creating a list of rows, accessing row items, and using the Union transformation to combine dataframes. The lesson includes practical steps and code examples to guide learners through the process.

What are the key attributes that should be included in a DataFrame for storing person data?

Explain how to combine two DataFrames using the Union transformation.

Why is it important to sort the DataFrame by ID after combining?