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Course/Module 6/Topic 1 of 3Intermediate

Data Manipulation (INSERT, UPDATE, DELETE) - Concepts

Explore the key concepts of data manipulation (insert, update, delete) with practical examples and exercises.

45 minBy Priygop TeamLast 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)

Try It Yourself: Data Manipulation (INSERT, UPDATE, DELETE)JavaScript1 error
⚠ Syntax Issues (1)

Line 1: JS Error: Unexpected identifier 'DML'

💡 Check syntax near the highlighted line.

JavaScript Editor
1 errorTab = 2 spaces
JavaScript|12 lines|335 chars|1 error, 0 warnings
UTF-8

Quick Quiz: Data Manipulation (INSERT, UPDATE, DELETE)

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