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Database Normalization Factors

Database Normalization Factors

Many legacy systems require normalization.

  • Identify at least two factors that should be considered in order to produce an optimal normalized set of tables when performing normalization.
  • Include in your discussion a detailed example on how each factor would eliminate data redundancy.,
  • Identify at least two factors that should be considered in order to produce an optimal normalized set of tables when performing normalization,

  • Include in your discussion a detailed example on how each factor would eliminate data redundancy.

Comprehensive Answer (General)

Key Factors in Producing an Optimal Normalized Set of Tables

1. Functional Dependencies
One of the most critical factors to consider during normalization is the identification of functional dependencies between attributes. Functional dependency occurs when the value of one attribute uniquely determines another attribute. Understanding these relationships ensures that each table is structured so that attributes depend only on the primary key.

  • Example:
    Suppose we have a single table that stores student information:

    Student Table

    StudentID StudentName CourseID CourseName InstructorName
    1001 Alice CS101 Database Dr. Smith
    1002 Bob CS101 Database Dr. Smith

    Here, CourseID → CourseName, InstructorName is a functional dependency. Repeating these values creates redundancy (e.g., “Database” and “Dr. Smith” repeated for every student).

    • Solution: By creating a separate Course table, we eliminate redundancy:

    Course Table

    CourseID CourseName InstructorName
    CS101 Database Dr. Smith

    Student Table

    StudentID StudentName CourseID
    1001 Alice CS101
    1002 Bob CS101

    Database Normalization Factors

    Now, if the instructor changes, we only update one record in the Course table instead of multiple rows in the Student table, eliminating redundancy.


2. Avoidance of Transitive Dependencies
Another important factor is removing transitive dependencies, where a non-key attribute depends on another non-key attribute rather than directly on the primary key. This is essential to achieve Third Normal Form (3NF).

  • Example:
    Suppose we have a table storing employee data:

    Employee Table

    EmpID EmpName DeptID DeptName DeptLocation
    2001 Sarah D10 Finance New York
    2002 John D10 Finance New York

    Here, DeptID → DeptName, DeptLocation. The attributes DeptName and DeptLocation depend on DeptID, not directly on EmpID. This leads to redundancy (Finance and New York repeated).

    • Solution: Separate department information into its own table:

    Department Table

    DeptID DeptName DeptLocation
    D10 Finance New York

    Database Normalization Factors

    Employee Table

    EmpID EmpName DeptID
    2001 Sarah D10
    2002 John D10

    This structure ensures that updates (e.g., department moving from New York to Boston) require changes in only one place, eliminating redundancy and preventing update anomalies.


Conclusion

In database normalization, carefully considering functional dependencies and eliminating transitive dependencies are key to producing optimal normalized tables. These factors reduce data redundancy, prevent anomalies, and ensure data integrity, leading to efficient and scalable database designs.

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Database Normalization Factors
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