
Ultimate access to all questions.
You are working on a data transformation project using Apache Spark. You have a large dataset with multiple columns, and you need to perform a series of transformations on the data. Which of the following transformation techniques would be most suitable for this scenario?
A
Use a single transformation operation to process all the columns and apply the required transformations.
B
Use a series of narrow transformations, focusing on one column at a time.
C
Use a series of wide transformations, applying multiple transformations to multiple columns simultaneously.
D
Use a combination of narrow and wide transformations, depending on the specific requirements of each column.