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Shipping Form Customer Number Customer First Name Customer Middle Name Customer Last Name Customer Street Customer City Customer State Customer Zip Order Number Carrier Numher Carrier Name Carrier Street Carrier City Carrier State Carrier Zip Product Name Product Number cost Date Shipped Date Arrived
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Carrier Carrier Number char Carrier Name char Carrier Street char Carrier City char char Carrier State char Carrier Zip number Next Day Rate number 2 Day Rate 2 Week Rate number Customer Customer Customer Customer Customer Customer Customer Customer Customer
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Figure 9-5 Here's a sample of the data and data definitions that are used in entities of an e-commerce web site
Organize Data into Groups
Grouping data into tables is referred to as normalizing the data The purpose of normalizing data is to remove duplicate data from the database Take a look at Figure 9-5 and you'll notice that customer name and customer address appear in the customer entity, the order entity, and shipping entity This is fine because the customer name and address need to appear in all three entities However, the duplication causes problems when the data is stored in the database The first problem occurs if you need to change the customer name or address after they are stored in the database You'll need to locate each occurrence in all the entities and then make the change There is always the possibility that you'll miss changing one or more of them-the data becomes unreliable Another problem is wasted storage space, although today the cost of storage (hard disk and CD) isn't too high Collectively, the customer name and address requires 307 characters However, 921 characters are stored for each customer, since the customer name and address appears three times in the database
Databases
Suppose that you have 5,000 customers and each customer places five orders a month This results in 5,000 occurrences of the customer name and address in the customer entity; 25,000 occurrence each month (300,000 per year) in the order entity; and 25,000 occurrences each month (300,000 per year) in the shipping entity The total number of characters that need to be stored per year is 905,000 characters The normalizing process can reduce this number of characters from 905,000 characters to 5,000 characters
How to Group Data
The normalization process follows strict rules called normal form, but you don't need to be concerned about them When you need to focus on is placing related data into groups, removing duplicate data, and then designating data that can be used to link together tables Let's begin by grouping the data The data is pretty much grouped by now if you used entities to identify the data, because customer data is associated with the customer entity; order data is associated with the order entity; and so on, as is illustrated in Figure 9-5 Next, we need to remove duplicate data This might seem like a tricky process It makes sense that a customer name and address remain in the customer entity because all customer information needs to be in the same group The same can be said about vendor name and address being in the vendor entity and the carrier's name and address being in the carrier entity Likewise, the product name needs to be in the product entity Take a close look at Figure 9-5, and you'll notice that these data elements also appear outside their logical entities For example, customer name and address appear in the shipping entity and in the order entity, too These entities need to reference the customer name and address That is, the order needs to contain the customer name and address and the shipper also needs the customer name and address However, we can point to the customer name and address in the customer entity rather than duplicating the customer name and address in the order entity and the shipping entity Notice that each customer has a customer number We can remove the customer name and address from the order entity and shipping entity and use the customer number, which remains in these entities, to point to the customer name and address in the customer entity We can also use the product number, the order number, and the carrier number to reference a product, an order, and a carrier Figure 9-6 shows the normalized database schema Each group will become a table in the database
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