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.,
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Identify at least two factors that should be considered in order to produce an optimal normalized set of tables when performing normalization,
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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.
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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).
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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.
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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).
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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).
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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.
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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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