Solution to Exercise 2
Step 1: Check for First Normal Form (1NF)
To determine if the given table is in 1NF, we need to ensure:
- Each column contains atomic values (no multivalued or composite attributes).
- Each row is unique and identifiable by a primary key.
Given Table:
| Emp_ID | Emp_Name | DOB | Area | City | State | Zip |
|---|---|---|---|---|---|---|
| 101 | Alice | 1990-05-01 | Downtown | New York | NY | 10001 |
| 102 | Bob | 1988-08-12 | Midtown | New York | NY | 10002 |
| 103 | Charlie | 1992-11-23 | Central | Los Angeles | CA | 90001 |
| 104 | David | 1985-03-15 | West End | Chicago | IL | 60601 |
Conclusion:
- The table satisfies the requirements for First Normal Form (1NF).
Step 2: Check for Second Normal Form (2NF)
To determine if the table is in 2NF, we need to:
- Ensure the table is already in 1NF.
- Ensure there are no partial dependencies, where a non-key attribute depends only on part of a composite primary key.
Primary Key:
- The primary key is
Emp_ID(single column, not composite).
Dependencies:
- All non-key attributes (
Emp_Name,DOB,Area,City,State,Zip) depend directly onEmp_ID.
Conclusion:
- There are no partial dependencies, and the table satisfies the requirements for Second Normal Form (2NF).
Step 3: Check for Third Normal Form (3NF)
To determine if the table is in 3NF, we need to:
- Ensure the table is already in 2NF.
- Ensure there are no transitive dependencies, where a non-key attribute depends on another non-key attribute rather than directly on the primary key.
Dependencies:
Emp_Name,DOB, andZipdepend directly onEmp_ID.- However,
Area,City, andStatedepend onZip, which in turn depends onEmp_ID. This is a transitive dependency.
Conclusion:
- The table is not in 3NF due to the transitive dependency between
ZipandArea,City, andState.
Step 4: Convert to Third Normal Form (3NF)
To remove the transitive dependency, we need to:
- Create a separate table for the location details (dependent on
Zip). - Retain a reference to
Zipin the original table.
Employee Table
This table will store employee-specific information, with Zip as a foreign key.
| Emp_ID (PK) | Emp_Name | DOB | Zip |
|---|---|---|---|
| 101 | Alice | 1990-05-01 | 10001 |
| 102 | Bob | 1988-08-12 | 10002 |
| 103 | Charlie | 1992-11-23 | 90001 |
| 104 | David | 1985-03-15 | 60601 |
Explanation:
Emp_IDis the primary key.- All attributes in this table depend directly on
Emp_ID.
Location Table
This table will store the location details based on Zip.
| Zip (PK) | Area | City | State |
|---|---|---|---|
| 10001 | Downtown | New York | NY |
| 10002 | Midtown | New York | NY |
| 90001 | Central | Los Angeles | CA |
| 60601 | West End | Chicago | IL |
Explanation:
Zipis the primary key.Area,City, andStatedepend directly onZip.
Final Relational Model
After normalization:
-
Employee Table:
- Contains
Emp_ID,Emp_Name,DOB, andZip. - No transitive dependencies exist in this table.
- Contains
-
Location Table:
- Contains
Zip,Area,City, andState. - Location details are fully normalized and uniquely identified by
Zip.
- Contains
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Progressively stronger hints — you still solve it.
I'm working on the problem **Solution to Exercise 2** (Databases). Give me a HINT LADDER: start with the tiniest nudge, then wait. Only reveal the next, stronger hint when I ask. Do NOT show the full solution unless I type 'show solution'. Keep me doing the thinking. If you're unsure or a claim isn't standard, say so and reason from first principles instead of guessing.
See the technique, not just code.
Explain the optimal approach to **Solution to Exercise 2** with a VISUAL walkthrough: trace it on a small concrete example using ASCII art / a step-by-step diagram, narrate what changes each step, then give time & space complexity with a one-line derivation. If you're unsure or a claim isn't standard, say so and reason from first principles instead of guessing.
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Lock in recognition with look-alikes.
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