Apache Spark 3 for Data Engineering and Analytics with Python - Working with User-Defined Functions

The video tutorial covers the creation and use of user defined functions (UDFs) in Spark. It begins with an introduction to the necessity of UDFs when Spark SQL functions are insufficient. The tutorial then demonstrates how to create a DataFrame with student names and scores, followed by writing a Python function to assign letter grades. Finally, the Python function is converted into a Spark UDF and applied to the DataFrame to calculate grades.

What grades are assigned based on the scores in the letter grade function?

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What is the significance of using UDF in Spark as mentioned in the text?

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Summarize the final outcome of the lesson as described in the text.

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