What is the process of converting a partially normalized table to a fully normalized table?

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What is the process of converting a partially normalized table to a fully normalized table?

The process of converting a partially normalized table to a fully normalized table involves several steps.

1. Identify the functional dependencies: Analyze the data in the partially normalized table to determine the functional dependencies between the attributes. This involves understanding the relationships and dependencies between the columns in the table.

2. Remove partial dependencies: Identify any partial dependencies, where an attribute depends on only a part of the primary key, and remove them by creating separate tables. This helps in achieving the second normal form (2NF).

3. Remove transitive dependencies: Identify any transitive dependencies, where an attribute depends on another attribute that is not part of the primary key, and remove them by creating separate tables. This helps in achieving the third normal form (3NF).

4. Create new tables: Create new tables for the attributes that were removed during the previous steps. These new tables will have their own primary keys and will be linked to the original table through foreign keys.

5. Establish relationships: Establish the relationships between the newly created tables and the original table using foreign keys. This ensures data integrity and maintains the referential integrity between the tables.

6. Normalize further if necessary: If the table still has any remaining dependencies or anomalies, continue the normalization process by identifying and removing them. This may involve creating additional tables and establishing further relationships.

7. Verify normalization: Finally, verify that the fully normalized table satisfies the desired normal forms (such as 2NF, 3NF, or higher) by checking for any remaining dependencies or anomalies.

By following these steps, a partially normalized table can be converted into a fully normalized table, resulting in a more efficient and organized database structure.