Which statement is true about the augment transformation?

The augment transformation focuses on enhancing a dataset by integrating additional columns, essentially combining information from related datasets. This process leverages relationships between datasets to provide a more comprehensive view of the data. For instance, if you have a dataset of customer orders and a related dataset with customer details, using the augment transformation allows you to blend these two data sources by adding customer-related columns (like name, address, etc.) to the order dataset.

This capability is essential when you need to enrich your analysis with related information that resides in separate datasets, helping to provide fuller context for the data being analyzed. By augmenting data this way, users can generate deeper insights without physically merging and altering the underlying datasets.