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In this video on Database Normalization 1NF 2NF & 3NF .We'll explore the fundamental concepts and techniques used to organize data efficiently within a database. Normalization is a crucial process in database design that helps reduce data redundancy, ensures data integrity, and simplifies data management.Throughout this tutorial, we'll take you step by step through the various Normal Forms, from the First Normal Form (1NF) to the Fifth Normal Form (5NF), including the Boyce-Codd Normal Form (BCNF). Each section will provide clear explanations and practical examples to help you understand how to apply these rules in real-world scenarios.
00:00 Introduction
01:30 What is Normalization ?
02:58 Advantages of Normalization
03:26 1NF
05:50 2NF
07:16 3NF
08:21 BCNF
09:19 4NF
10:36 5NF
Frequently Asked Questions
✅What is the difference between 2NF and 3NF?
The key difference between Second Normal Form (2NF) and Third Normal Form (3NF) lies in how they handle dependencies. A table is in 2NF if it is in 1NF and has no partial dependencies (i.e., all non-key attributes depend on the entire primary key). A table is in 3NF if it is in 2NF and has no transitive dependencies (i.e., non-key attributes depend directly on the primary key, not on other non-key attributes). In other words, 3NF eliminates any dependencies between non-key attributes.
✅Why is BCNF considered a stronger version of 3NF?
Boyce-Codd Normal Form (BCNF) is considered a stronger version of Third Normal Form (3NF) because it handles certain anomalies that 3NF does not address. BCNF ensures that every functional dependency has a superkey as its determinant, which means that even more complex forms of redundancy and dependency are eliminated. While 3NF addresses most issues, BCNF provides an additional level of rigor in cases where 3NF might still allow some redundancy.
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