Spark Programming in Python for Beginners with Apache Spark 3 - Misc Transformations

This video tutorial covers various data transformation techniques using PyCharm, Jupyter, and DataBricks. It demonstrates creating DataFrames, attaching schemas, adding unique identifiers, using CASE expressions, handling data type issues, and casting. The tutorial also explains adding and removing columns, sorting, and dealing with duplicates.

What is the significance of using the 'withColumn' method in data frame transformations?

What are the potential issues with incorrect data types in a data frame?

How can you drop duplicate records from a data frame based on specific columns?

Explain how to sort a data frame by a specific column in descending order.