Penn Health Supplies want to use a relational database to keep track of its PPE mask shipments. They need to know what is in each shipment, the price charged, who made the shipment, and who it is going to. The fields below need to put into a schema that is consistent with 3NF and properly formatted.
Item description
Item Price (Which can vary on every sale, depending on what is
negotiated)
Shipping clerk #
Customer #
Customer name
Customer address
Shipment #
Shipment Date
Shipped Quantity
Unorganised Data of Penn Health Supplies
| Item Desription | Item Price | Customer ID | Customer Name | Customer Address | Shipping Clerk ID | Shipment ID | Shipment Date | Shipped Quantity |
The following effect will be given effect after normalisation to to create a realational database to be put under schema consistent with 3rd Normal Form where 2 non key attribute is transitively depend on the Primary Key. Let's take a detailed look:
1. Customer (ID, Name, Address, Shipment ID) This means Customer Name, Customer Address and Shipment ID is functionally Dependent on Customer ID.
Customer ID__> Customer Name, Customer Address, Shipment ID. The Table will be produces as:
Customer
| Customer ID | Customer Name | Customer Address | Shipment ID |
2. Shipment (ID, Item Description, Item Price, Shipped Quantity). This means Item Description, Item Price, Shipped Quantity is functionally dependant on Shipment ID.
Shipment ID__> Item Description, Item Price, Shipped Quantity
Item
| Shipment ID | Item Desription | Item Price | Shipped Quantity |
3. Shipment (ID, Shipping Clerk ID, Shipping Date) This means Shipping Clerk ID, Shipping Date is functionally dependent on Shipment ID.
Shipment ID__> Shipping Clerk ID, Shipping Date
Shipment
| Shipment ID | Shipping Clerk ID | Shipment Date |
Penn Health Supplies want to use a relational database to keep track of its PPE mask...
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