Order Form Transformation and Normalization Process

a) How can the given order form be converted into a relational schema format?

Options:
A) By identifying functional dependencies
B) By normalizing the table
C) By splitting the table into multiple tables

b) What are the primary key(s) for the above table?

Options:
A) Order_Number
B) Customer_Number
C) Product_Number

c) How can the table be normalized until the third normal form (3NF)?

Options:
A) Identifying transitive dependencies
B) Removing partial dependencies
C) Splitting the table into smaller tables

a) The given order form can be converted into a relational schema as follows:

ORDER_FORM(Order_Number, Customer_Number, Customer_Name, Customer_Address, City, State, Product_Number, Description, Quantity, Person_In_Charge)

b) The primary key(s) for the above table are Order_Number, Customer_Number, and Product_Number.

c) Normalization of the table until third normal form (3NF) involves:

1. Identifying functional dependencies and removing partial dependencies
2. Ensuring the table is in second normal form (2NF), which involves removing partial dependencies
3. Identifying and removing transitive dependencies to achieve third normal form (3NF)

When transforming the given order form into a relational schema, it is essential to maintain data integrity and ensure the database is organized efficiently. By identifying functional dependencies and normalizing the table, we can ensure that the data is structured in a way that minimizes redundancy and dependency issues.

In the normalization process, it is crucial to understand the concept of atomic values and remove any partial or transitive dependencies that may hinder the database's efficiency. By following the steps outlined above, we can achieve a well-organized and normalized database that adheres to the third normal form (3NF) standards.

By converting the order form into a relational schema and normalizing it effectively, businesses can enhance their data management processes and ensure accurate and efficient data retrieval for various organizational needs.

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