🔥 Now, let’s move to the next topic:

✅ Normalization in SQL

🧠 1. What is Normalization?

Normalization is the process of
👉 organizing data properly
👉 reducing duplicate data
👉 improving database structure

Think like this 👇
❌ Bad database → repeated data everywhere
✅ Normalized database → clean & efficient

⚡ 2. Why Normalization?
✔ Reduce data redundancy
✔ Avoid duplicate data
✔ Improve consistency
✔ Easier updates

📊 Example (Without Normalization)
Student data repeated multiple times
student_id student_name course instructor
1 Amit SQL Rahul
1 Amit Python Rahul

✅ After Normalization
👨‍🎓 Students Table
student_id student_name
1 Amit

📘 Courses Table
course_id course
101 SQL

📝 Enrollment Table
student_id course_id
1 101

✔ Cleaner structure 💯

🔥 3. Types of Normalization

Normal Form Purpose
1NF Remove repeating groups
2NF Remove partial dependency
3NF Remove transitive dependency

⚡ 4. First Normal Form (1NF)
👉 Each column should contain atomic values

❌ Wrong:
student courses
Amit SQL, Python

✅ Correct:
student course
Amit SQL
Amit Python

⚡ 5. Second Normal Form (2NF)
👉 Must already be in 1NF
👉 Remove partial dependency

Non-key columns should depend on full primary key

⚡ 6. Third Normal Form (3NF)
👉 Must already be in 2NF
👉 Remove transitive dependency

Non-key columns should depend ONLY on primary key

🎯 7. Practice Tasks
1. Identify duplicate data
2. Convert table into 1NF
3. Split data into multiple tables
4. Identify primary keys
5. Convert table into 3NF

⚡ Mini Challenge 🔥
👉 Normalize a student-course database into 3NF

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