Apache Spark 3 for Data Engineering and Analytics with Python - Distinct Drop Duplicates Order By

The video tutorial demonstrates how to work with dataframes using SQL functions in PySpark. It covers obtaining unique rows with the distinct function, dropping duplicates based on specific columns, and ordering data by year in descending order. The tutorial provides step-by-step instructions and examples to help learners understand these data manipulation techniques.

Describe the process of importing SQL functions for data manipulation.

What is the significance of using the alias function when selecting columns?

What are the implications of having duplicated values in a data frame?