SQL FULL JOIN Explained | Combine All Records and Analyze Missing Data | SQL Tutorial
In this video, you will learn how to use FULL JOIN (FULL OUTER JOIN) in SQL to combine data from multiple tables and include all records from both tables. This tutorial explains complete dataset comparison, missing data analysis, and data integration in a simple beginner-friendly way.
Topics Covered:
• FULL JOIN in SQL
• FULL OUTER JOIN concept
• Combining all records from both tables
• Handling NULL values for unmatched rows
FULL JOIN returns all records from both tables. When there is no match, NULL values are returned for the missing side.
Personal Example:
Merging multiple lists such as combining contacts from different sources and identifying missing entries.
Industry Example:
Companies use FULL JOIN for system data merging, data reconciliation, and identifying missing or unmatched records across datasets.
Example SQL Query:
SELECT Customers.CustomerName, Orders.OrderID
FROM Customers
FULL JOIN Orders
ON Customers.CustomerID = Orders.CustomerID;
This query returns all customers and all orders, including unmatched records.
This tutorial is useful for beginners learning:
SQL
Database fundamentals
MySQL
PostgreSQL
SQL Server
Data analytics basics
Understanding FULL JOIN is essential for comparing datasets, merging systems, and performing data integration tasks in real-world applications.
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