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[MUSIC PLAYING] The company has noticed that someone has been sneaking in at night and stealing food from the breakroom. They have a list of IDs and swipe times from the building badge readers, but no names. In order to get the names, they will need to join the HR table to the badge swipe data. To do this, they need to identify a related and unique column between the tables. In both of their data sets, the related column is employee ID. By matching on employee ID, they can take columns from the HR table and add them to the badge swipe table, where employee ID matches. This new table now shows the names of the treat thieves, and what time they made the heist. Now, there are multiple types of joins. Outer joins are the most commonly used and can be a left outer or right outer join. In the previous example, we use the left outer join. This keeps all rows from the table on the left and will only join data from the right table, where the data matches based on the unique column you chose to