What outcome does a full outer join transformation provide?

A full outer join transformation is designed to combine records from two datasets, ensuring that all rows from both the left and right datasets are included in the result. This type of join retrieves all records where there is a match in either the left or right dataset, as well as unmatched records from both datasets.

When a full outer join is applied, it fills in with null values for fields from either dataset where there is no corresponding match. Therefore, if one dataset has fewer records or does not have matches for some of its rows, those rows will still appear in the result set, often with nulls in the columns of the other dataset that lack corresponding entries.

This is distinct from other types of joins, which may restrict the output to only matched records or may fail to show unmatched rows from one or both datasets. The inclusion of all records from both datasets, regardless of whether they match, is what defines the full outer join transformation.