This document discusses normal forms in database management systems (DBMS). It introduces normal forms as rules for structuring relational databases to reduce data redundancy and improve integrity. The document describes first normal form (1NF), second normal form (2NF), and third normal form (3NF), explaining how each builds on the previous form to further eliminate redundancy. Some benefits of normal forms are that they improve data integrity, reduce redundancy to save storage space, and simplify querying.

1. Normal Form In DBMS
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2. Introduction to Normal Form in DBMS
Normal Form in DBMS is a set of rules
used to design and structure relational
databases.
It helps in reducing data redundancy and
improving data integrity.
Normal Form ensures that data is
organized efficiently and avoids data
anomalies.

3. First Normal Form (1NF)
1NF ensures that each attribute in a
relation is atomic, meaning it cannot be
further divided.
It eliminates duplicate rows and ensures
each row is unique.
1NF helps in eliminating data redundancy
and simplifying data retrieval.

4. Second Normal Form (2NF)
2NF builds upon 1NF and ensures that all
non-key attributes are fully dependent on
the primary key.
It eliminates partial dependencies and
avoids data anomalies.
2NF helps in improving data integrity and
ensures efficient updates and
modifications.

5. Third Normal Form (3NF)
3NF builds upon 2NF and ensures that
there are no transitive dependencies
between non-key attributes.
It eliminates redundant data and minimizes
data duplication.
3NF helps in maintaining data consistency
and simplifies database design.

6. Benefits of Normal Form in DBMS
Normal Form helps in improving data
integrity and accuracy.
It reduces data redundancy and saves
storage space.
Normal Form simplifies data retrieval and
supports efficient querying.

7. Thank
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