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Employee places Purchase Order Purchase Orders are placed with Vendors Purchase Orders have Purchase Order Details Purchase Orders Details have Products Products are stored in Bins
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Expressed in modeling terms, these relationships look like this:
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Employee 1:M Purchase Orders Vendors 1:M Purchase Orders Purchase Orders 1:M Purchase Order Details Products 1:M Purchase Order Details Bins 1:M Products
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When looking at previous systems, you should have tried to determine not only the type of data stored (the data model) but also that system s inputs and outputs Comparing the data that was stored in the new model is straightforward If your customer has kept track of all its products before, it stands to reason that it will want to do so in the new system This type of data can be verified and mapped to the new model What can be trickier are the inputs and outputs When looking at the previous system, you may find forms or computer screens that the Mountain View employees or customers were exposed to during normal business When you analyze this document, these forms will offer you critical insight into the types of information that needs to be stored and to business rules that need to be in place Take a look at Figure 62, which shows the form that warehouse employees fill out when they are performing an inventory count Looking at this form, we learn a few key pieces of information about the Product entity Some of this information agrees with what we found out earlier from the warehouse manager First, all products have an SKU number and a model number The SKU number is an internal number that Mountain View uses to keep track of products, and the model number is unique to the product manufacturer Next, we see the format of the BIN Number where products are stored When building our model, we now know that the BIN Number contains both letters and numbers, so we will want to store this data in a varchar field Finally, we see again that the products are tracked by serial
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FIGURE 62 A form that is filled out during inventory to ensure an accurate count of the product on hand number when needed One such product is guitars; this means that each guitar, in this case, will need to be stored as a distinct entry in our product table We were told that some products are not stored by serial number In this case, we simply need to store a single row for that product with a count on hand Because it s not a good practice to break up similar data in a model, we need to ensure that our model accounts for each of these possible scenarios Each form you look at should be examined for several things, because each can provide you insight about the data and its uses The following list shows what you should look for and the types of information you can garner from each
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The data that the form contains The data contained on the form gives you clues about what needs to be stored You can determine the data type, the format, and maybe the length of the data to be stored Seeing mixed alphanumeric data
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would lead you to store the data in a varchar column An SKU number that is solely numerals may point you toward an int The intended user of the form The intended user can offer valuable insight into possible security implications and work flow Understanding who can place an order will help you later when you need to add security to the database so that only the appropriate people can see certain data Additionally, understanding how a user places an order or how an inventory count is recorded can help you to better understand the work flow and help you to design the model accordingly The restrictions placed on users Restrictions that a form places on its user can be clues to data requirements or business rules If the customer information form asks for three phone numbers (such as home, work, and mobile) but requires only that one be filled in, you may have a business rule that needs to be implemented Additionally, a form may limit the customer s last name to 50 letters; this probably means that you can limit the data type of last name to 50 characters
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