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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.

Another efficient way to create relationships is to use the Diagram tab of the Project window With the Diagram tab selected, you will notice a set of buttons, shown in Figure 15-26, that appear in the toolbar The rightmost button is used for defining relationships in the diagram You can also use this toolbar to create folders, namespaces, and query subjects, but the relative convenience of the buttons for those objects is nowhere near that of the relationship button Clicking the relationship button will change the cursor to indicate that it is ready to create a relationship You can then drag-and-drop from one query subject to another in the diagram to establish the relationship Doing so will also bring up the Relationship Definition dialog shown in Figure 15-27 Because the relationship was created using one of the efficient methods, Framework Manager created the link between the selected query items and gave a useful default name, using the names of the two query subjects separated by the string <--> to signify the relationship between them You can rename it if you wish, but you should stick with the names and the naming convention that these creation methods produce The components of the relationship are the two referenced query subjects, the link or links shown between the query subjects, the query items referenced by each link, and the

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The Oracle Data Guard logical standby database is a logical replica of the primary database, which is kept in sync using the Data Guard SQL Apply process The SQL Apply process converts the transactions from the primary database redo logs to SQL statements, and the SQL is then applied on the logical standby database to replicate the transactions The logical standby database can have different physical characteristics than the primary database, and can even be on different versions Using this capability, the source system can be migrated by creating a logical standby of the source on the Database Machine and then performing a Data Guard switchover to the logical standby database

Part IV:

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

FIGURE 15-27

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