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Now that you've identified attributes for your entities, you need to transform the attributes to data Developers call this process decomposing attributes This process is also intuitive because you can easily recognize whether or not an attribute can be subdivided Look at each attribute Ask yourself, can this attribute be subdivided into data If so, then write the data If not, then use the attribute as the data For example, customer address is an attribute of the customer entity Can customer address be subdivided into data Sure it can, because an address is composed
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Figure 9-4 Here is a list of entities and their attributes for an e-commerce web site
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of street, city, state, and ZIP code Therefore, you'll need to make a list of the data associated with the attribute A product number is an attribute of the product entity Can a product number be subdivided into data It depends on the nature of the product number However, many product numbers cannot be subdivided into meaningful data Therefore, product number is also data
Define Data
Once you identify data for each entity, you must define the data The definition of data, which you'll later use when you build the database, describes the data The most common ways to define data are by name, data type, size, range, default value, acceptable values, where a value is, format, and source of the data
Name The name of the data, commonly called a column name, uniquely identifies the attribute from other data of the same entity Duplicate data names within the same entity are prohibited Data type A data type specifies the kind of values that are associated with the data Maximum data size The data size describes the maximum number of characters associated with the data Suppose 10 characters are used to represent every product number The maximum size is 10 characters
APTE
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Minimum data size The data size describes the minimum number of characters associated with the data Let's say that the product number cannot be less than 10 characters, so then the minimum size of the product number is 10 characters Data range The data range is the range of values that are associated with the data These are specified as a minimum value and maximum value For example, a product number might be from 10000 to 99999 Therefore, the minimum value of the data is 10000 and the maximum value is 99999 Values outside of this range are invalid Data default value The data default value is the value that is automatically assigned to the data if no value is explicitly assigned to the data Let's say that an order entity has order date as one of its data elements The default value for the order date is today's date If an order is placed without an order date, then the value of the order date defaults to today's date Acceptable values An acceptable value for a data element is one of a set of values For example, the order entity has a product number as a data element of the order The product number must be one of a valid set of product numbers This is different than a range of product numbers because some product numbers in the range may not have been assigned to products as yet Therefore, they wouldn't be in the set of value product numbers Required value A data value may be required For example, you cannot have an order without a product number Therefore, product number is required However, you might have a customer who doesn't have a middle name Therefore, customer middle name is not required Data format Some data must appear in a particular format, such as mm-dd-yyyy for a date You'll need to specify the format if the data requires one; otherwise, you don't need to describe the format Date source The data source is the origin of the data Some data is provided during data entry, while other data is provided by a database or from another system Practically all the data for your application will come from data entry
Figure 9-5 shows the type of data that you can derive from the customer, order, product, shipping, vendor, and carrier entities for an e-commerce web site It is all right if you come up with a different set of data and a different data definition because the actual data and data definitions used in a database schema are dependent on the particular ASPNET application that you're building
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