Apache Spark 3 for Data Engineering and Analytics with Python - Filter and Where Conditions

The video tutorial covers the use of filter and where functions in dataframes, explaining how to apply conditions to filter data based on salary and active status. It demonstrates the use of comparison operators and logical operators like AND and OR to combine multiple conditions. The tutorial also explores advanced filtering techniques using array functions to search within nested columns.

What is the purpose of the builtin filter function in the context of dataframes?

Explain how to filter records based on salary using the filter function.

What is the difference between the filter and where functions?

Describe how to combine multiple conditions in a filter operation.

How can you filter data based on a specific birth year?

What is the significance of using the array contains function in data filtering?

Summarize the key takeaways from the lesson on filtering data.