SQL JOINS Masterclass: Learn to join 2 to 15 Tables

Discover the purpose of joins in SQL, learn how to combine data from two or more tables, and explore the different join types that enable multi-table queries.

Explore the basics of SQL joins by examining cross join, left outer join, right outer join, and full join, and understand how each type combines tables.

Learn left join basics, where the left table acts as the boss, matching rows by key values and using the primary key on left to join the right foreign key.

Explore full outer joins, which combine left and right joins with equal rights, and learn the syntax, inputs, and outputs through a bean diagram style example.

Demonstrate how natural join implicitly joins tables on common column names, without an explicit on clause, and illustrate how shared columns determine results and potential duplicates.

Master self joins to map employee hierarchies within a single table, using aliases to link employees to their managers and reveal who reports to whom.

Choose the correct on clause by using matching keys, typically a primary key and its foreign key, to join employees to orders and connect products and customers through orders.

Explore how to use on and where to restrict query outputs across inner, left, and right joins, achieving the same results with streamlined conditions.

Master joining many tables by using primary keys and foreign keys to connect regions, territories, employees, orders, shippers, products, suppliers, and categories across a multi-table schema.

Learn how to join 2 to 15 tables, such as supply, product, and supplier, using the linking supplier id, and navigate the floor of the join for efficient queries.

Learn to count orders per customer by using group by on the orders table, grouping by customer ID to reveal how many orders each customer placed.

Learn to group by and count orders across two tables by joining the orders and customers tables on customer_id, replacing customer ids with names for clear, name-based results.

Learn to count shipments per shipping company by joining two tables: the shippers and orders on shipper id, and aggregate to show each company's shipment total.

Join two tables to count shipments delivered in 1998 by filtering on the ship date.

Join orders and customers to count shipments per country, then group by ship country and customer name and sort by shipments and country.

Master the join of two tables, linking territory and region by their id, and use string aggregate to display combined territory names in the output.

learn to join two tables, territories and employees, on the common territory id, return employee ids for each territory, and use distinct and group by to remove duplicates.

Master SQL joins across 2 to 15 tables to map each employee to their territory, using employee id or full name, and group results with aggregates.

Master the art of joining 2 to 15 tables: link suppliers, products, and categories to show how many categories each supplier offers, with company names, grouped by supplier.

Dive into SQL joins masterclass by counting orders to identify the most purchased product, then join product and category tables to show names and categories.

Compute revenue per customer for June 1997 using data from the order table, filtering to that month and aggregating totals.

Calculate the revenue in dollars from each customer for the year 1996, following the prior approach. Use SQL joins to assemble yearly customer revenues.

Learn to count distinct products purchased by a specific customer across four tables using joins, focusing on duplicate elimination rather than price.

Join four tables to fetch a customer's id, product names, total amount, and the last order date, using aggregation and group by to ensure accurate totals and last dates.

Join five tables: customers, orders, order details, products, and employees. Apply concatenation, aggregates, and group by to display product names, customer and employee details, order totals.

Learn to generate reports on delayed orders with case statements in sql, add a point-of-action column, and define actions for delays from 10 to 40 days.

Master 15-table sql joins to generate a report linking theme titles, film categories, languages, countries, customers, rentals, and payments, with aggregation and grouping across the data.

Demonstrate joining actors and movie data to pair actor names with their movie titles, using a connector between tables and selecting from the actors and film tables.

Master how to join multiple tables to count actors in each movie by category, grouping results by movie title and category.

Explore how to count actors per movie using sql joins and aggregate functions. Group results by movie title and category to reveal the number of actors in each film.

Join multiple tables to count how many movies each actor acted in, using group by and count to attach movie titles to actors.

Analyze movie appearances by joining multiple tables to locate the actor with the highest count, handling differences in titles across 63 tables.

Count how many movies each actor appears in, then retrieve the first ten records by lowest appearances in both ascending and descending orders, avoiding confusion in the top 10.

Generate an employee performance report showing full name, title, revenue with proper dollar formatting, and a list of product categories by month using SQL joins.

Generate a regions report to show the region each employee is assigned to. Observe how removing duplicates affects the regional data and reduces repeated entries.

Join employees, regions, and customers to show each employee, their region, and the customers in the swat region assigned to them, in three columns.

Learn to build a detailed report linking orders with products and suppliers, creating descriptive columns that concatenate product, supplier, and price, while including customer and employee details.

Join orders, products, and suppliers to analyze price discussions and the newly introduced category, illustrating category name concatenation in the orders with the products suppliers ii exercise.

Explore how intersect combines results from two query sets into a single output, highlighting common elements such as 7, 11, and 22.

Explore union techniques to pull names from phone numbers across suppliers, customers, and external stakeholders, then group and customize reports with their contact details.

Explore the sql except operator by comparing two or more queries, returning rows not in the second query and forming the complement of one set against another.

Explore the except exercise in SQL joins to determine how results differ when comparing two datasets, identifying what is returned and what is not when reversing the order.