9. Data Validation Using SQL for Testing | Ensuring Data Accuracy & Integrity
Welcome to the ninth video in our SQL for Testers & Developers | Beginner-Friendly Guide playlist! 🚀
In this video, you'll learn how to validate data using SQL to ensure accuracy, integrity, and consistency in databases. We’ll cover:
✅ How to verify inserted, updated, and deleted data
✅ Writing queries to check constraints, duplicates, and missing values
✅ Using COUNT, GROUP BY, HAVING, DISTINCT for validation
✅ Common SQL techniques for test case creation
📌 Data validation is a crucial skill for software testers, helping to catch defects early and improve application reliability.
💡 Don't forget to like, share, and subscribe for more SQL tutorials! Have questions? Drop them in the comments below! ⬇️
#SQL #DataValidation #SoftwareTesting #DatabaseTesting #QA #SQLForBeginners #AutomationTesting #DataIntegrity #gntcreator
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SQL QUERIES from this video:
CREATE TABLE orders (
order_id INT PRIMARY KEY,
customer_name VARCHAR(50),
order_date DATE,
total_amount DECIMAL(10,2),
status VARCHAR(20)
);
INSERT INTO orders (order_id, customer_name, order_date, total_amount, status) VALUES
(1, 'John Doe', '2025-02-15', 100.50, 'Completed'),
(2, 'Alice Smith', '2025-02-16', 200.75, 'Pending'),
(3, 'Bob Johnson', '2025-02-17', NULL, 'Completed'),
(4, 'Emma Brown', '2025-02-18', 150.00, 'Shipped'),
(5, 'John Lawson', '2025-02-19', -10.00, 'Completed'),
(6, 'Eric Brown', '2025-01-20', 100.00, 'UNKNOWN');
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