In this tutorial, you'll learn about the mechanics of joins in SQL and its different types. During your data analysis in SQL, you will often need to look at multiple tables and join them to get the desired results. Joining tables for analyzing data is a required skill for a data scientist as well.Where can I find some challenging SQL join exercises?
If you want to practice some challenging SQL Join exercises, you should take DataCamp's Joining Data in SQL course. In fact, materials from the course were used as references to make this tutorial.How do we join tables together in a relational database?
One of the key principles of the relational database is that data is stored across multiple tables. We will need to be able to join tables together in order to extract the data we need. We use primary and foreign keys to join tables. A primary key is a column that is used to uniquely identify each row in a table.What is insertcross join in SQL?
CROSS JOIN is essentially the cartesian product between two elements expressed using SQL. Suppose, you need to have all the combinations possible in between two tables or even in a single table. You will need CROSS JOIN for doing this.