The target table

In the previous exercises, you've calculated a DataFrame called recommendations. It contains pairs of user_id's' and course_id's, with a rating that represents the average rating of this course. The assumption is the highest rated course, which is eligible for a user would be best to recommend.

It's time to put this table into a database so that it can be used by several products like a recommendation engine or an emailing system.

Since it's a pandas.DataFrame object, you can use the .to_sql() method. Of course, you'll have to connect to the database using the connection URI first. The recommendations table is available in your environment.

Fill in the connection URI for the Postgres database on host localhost with port 5432. You can connect with user repl and password password. The database name is dwh.
Complete the load_to_dwh() function. It should write to the "recommendations" table and replace if the table exists.

Take Hint (-30 XP)

Exercise

The target table

Instructions