Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 2 - Rearrange the Schema

This video tutorial guides viewers through the process of renaming columns and assigning correct data types in a data frame using PySpark. It covers importing necessary libraries, converting data types, renaming columns, and adding new columns for report year and month. The tutorial also demonstrates how to convert order dates into timestamps with a specified format and how to clean up the data frame by dropping old columns.

What is the process of renaming columns and assigning data types as indicated by the specification?

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How do you convert a string into an integer type in a DataFrame?

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What steps are involved in converting a column to a float type?

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Explain how to change the order date into a timestamp with a specified format.

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What is the significance of dropping old columns after adding new ones?

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How do you ensure that the correct data types are assigned to the DataFrame columns?

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Describe the process of adding new columns for year and month from the order date.

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