First Normal Form (1NF) requires that the domain of each attribute contains only atomic values and that there are no repeating groups.
2NF requires the table to be in 1NF and that no non-prime attribute is dependent on a proper subset of any candidate key (no partial dependency).
3NF requires the relation to be in 2NF and that no non-prime attribute is transitively dependent on the primary key.
Normalization is the systematic approach of organizing data in a database to reduce data redundancy and improve data integrity.
A partial dependency (attribute depending on only part of a composite key) violates 2NF.
The transition from 2NF to 3NF specifically aims to eliminate transitive dependencies.
The core rule of 1NF is atomicity, meaning each column must contain a single value and rows must be unique.
Normalization often involves decomposing large tables into smaller, linked tables, which usually leads to more joins during data retrieval.
Normalization follows a hierarchical sequence; 2NF is defined based on the condition that the table is already in 1NF.
3NF was specifically formulated to address update anomalies caused by transitive dependencies where non-key attributes depend on other non-key attributes.
3NF specifically eliminates transitive dependencies, meaning non-prime attributes should not depend on other non-prime attributes.
A table must have atomic values to be in 1NF; therefore, presence of multi-valued attributes implies it is unnormalized.
Moving from 2NF to 3NF specifically targets and resolves transitive dependencies.
2NF requires that all non-prime attributes be fully functionally dependent on the primary key, thereby removing partial dependencies.
Any attribute that is part of any candidate key in the relation is defined as a prime attribute.
2NF requires full functional dependency, ensuring attributes are not dependent on just a part of a composite key.
A relation with a single-attribute primary key cannot have partial dependencies, thus it satisfies the 2NF condition automatically.
Normalization organizes data to reduce redundancy and eliminate anomalies like insertion, update, and deletion errors.
1NF definition specifically mandates that all attributes must contain atomic (indivisible) values.
A transitive dependency occurs when a non-prime attribute (Z) depends on another non-prime attribute (Y) which in turn depends on the key (X).
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