Spark Programming in Python for Beginners with Apache Spark 3 - Outer Joins in Dataframe

The video tutorial covers different types of joins in Apache Spark, focusing on inner and outer joins. It explains the limitations of inner joins, such as missing records when there is no match on both sides. The tutorial introduces outer joins, including full, left, and right outer joins, which ensure all records are included even without matches. Practical examples demonstrate how to handle null values using the collies function, providing a comprehensive understanding of join operations in data processing.

What are the three types of outer joins mentioned in the lecture?

How can you handle null values in the result of a left join?

What is the significance of using the collies function in data transformation?