So far you've joined two tables at a time. But real business questions often need data from three, four, or more tables.

Imagine finding "customers who bought electronics from suppliers in California." You'd need customers, orders, products, AND suppliers tables!

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Can you think of a question that would require at least three different tables?

The good news: multi-table JOINs work exactly like two-table JOINs, just chained together. You add one JOIN at a time, building your result step by step.

Think of it like connecting train cars - each JOIN adds another car to your data train.

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Name one practice that helps you keep track of multiple JOINs in a query?

Here's the basic pattern for three tables:

Each JOIN connects two tables using their relationship keys.

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Which table serves as the "bridge" between table1 and table3 in this example?

Table aliases become crucial with multiple tables. Instead of writing long table names repeatedly, use short, meaningful aliases.

Much cleaner than full table names everywhere!

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What aliases would you choose for tables named "order_items" and "product_categories"?

Let's trace through a real example. Say we want customer names, their orders, and product details:

Each arrow represents a JOIN connecting related tables through their keys.