Expanding datasets using a full outer join
In the Combining data ingest and Union actions recipe, we created an inner join to return rows from two data sources that had a commonality. In the Combining datasets using a left or right join recipe, we created a left join to return all rows from a data source and enrich that data with information from a second source, whenever there was additional information available, without dropping any rows from the original source.
In this recipe, we'll look at a variation of the join, which is named the full outer join. In this case, we'll want to retrieve all rows from both data sources involved in the join, that is, even if there's no overlap. It's essentially doing a left and right join at the same time; you won't lose any data from either data source.
In the example that follows, we'll use a use case where a company is running several projects and each project may have a number of people assigned to it. However...
