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Introduction to Schema Refinement Normal Forms :-
Schema Refinement and Normal Forms are techniques used in database design to improve data structure by reducing redundancy and avoiding anomalies. Normalization involves organizing data into tables and applying rules (normal forms) to ensure consistency and efficiency.
- 1NF (First Normal Form): Ensures all attributes contain atomic, indivisible values, eliminating repeating groups.
- 2NF (Second Normal Form): Removes partial dependencies, ensuring every non-key attribute is fully dependent on the primary key.
- 3NF (Third Normal Form): Eliminates transitive dependencies, ensuring that non-key attributes are only dependent on the primary key.
These steps help create a more efficient, reliable, and consistent database design.
Objectives of Schema Refinement Normal Forms :-
In this chapter, we’ll look at what functional dependencies are, how to recognise them, and how to infer functional dependencies using inference rules. We’d dig deeper into data normalisation and the various normal forms -1NF,2NF,3NF and BCNF. We’ll look at how larger tables can be broken down into smaller ones without losing data at the end of this chapter.
Summary of Schema Refinement Normal Forms :-
Schema Refinement and Normal Forms optimize database design by reducing redundancy and ensuring data integrity. Normalization involves organizing data into tables and applying rules like:
- 1NF: Ensures atomic values, removing repeating groups.
- 2NF: Eliminates partial dependency, making non-key attributes fully dependent on the primary key.
- 3NF: Removes transitive dependency, ensuring non-key attributes depend only on the primary key.
These steps improve database efficiency and consistency.
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