Data Manipulation (INSERT, UPDATE, DELETE) - Concepts
Explore the key concepts of data manipulation (insert, update, delete) with practical examples and exercises.
45 min•By Priygop Team•Last updated: Feb 2026
Introduction to Data Manipulation (INSERT, UPDATE, DELETE)
In this section, we cover the fundamental aspects of data manipulation (insert, update, delete). You'll learn core concepts, see real-world examples, and understand how to apply them in your projects.
Key Concepts
- Understanding the core principles of data manipulation (insert, update, delete)
- Practical applications and real-world use cases
- Step-by-step implementation guides
- Common patterns and best practices
- Tips for debugging and troubleshooting
- Performance optimization techniques
Data Manipulation (INSERT, UPDATE, DELETE) - Code Example
Example
-- INSERT
INSERT INTO employees (name, email, department, salary)
VALUES ('Alice Smith', 'alice@company.com', 'Engineering', 85000);
-- INSERT multiple rows
INSERT INTO products (name, price, category) VALUES
('Laptop', 999.99, 'Electronics'),
('Mouse', 29.99, 'Electronics'),
('Book', 14.99, 'Books');
-- UPDATE
UPDATE employees
SET salary = salary * 1.10, updated_at = NOW()
WHERE department = 'Engineering' AND performance_rating >= 4;
-- DELETE with safety
DELETE FROM orders
WHERE status = 'cancelled' AND created_at < '2024-01-01';Try It Yourself: Data Manipulation (INSERT, UPDATE, DELETE)
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