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Although having access to a database server lets users log in, that alone does not give them the right to access information. The next step is to set permissions on logins to access one or more databases. A user must be added to a database before he or she can access any information in that database. There are two ways to add these permissions: To add database permissions when creating a login, do the following: 1. In the New Login dialog box, click the Database Access tab:

Operational systems often contain attributes that have multiple parts, each part bearing some sort of significance. Account codes are a common example, made up of parts such as a company identifier, account code, subaccount code, and so forth. In a dimensional design, the entire attribute may be stored, along with additional attributes that isolate its constituent parts. If these subcomponents are codes, they may also be accompanied by corresponding description values. In Figure 3-2, the operational system records a region code in the format XX-YYY. The first part of this code designates a country, and the second part designates a territory within that country. The value 07-701, for example, contains country code 07 and territory code 701, which correspond to the United States and East, respectively. The dimensional design contains the full code, as well as the constituent codes and their corresponding descriptions.

2. Place a checkmark next to the database(s) the user should be able to access. 3. Optionally, you can assign database roles (described later) for these users.

While the majority of dimensions contain data that is textual, sometimes dimensions contain numeric data Given that facts tend to be numeric, this can occasionally lead to confusion Application of the tests described in 1 will allow you to sort out dimensions from facts You have already seen examples of dimensions that contain numeric data In Figure 3-2, for example, numeric content may be found in customer_type_code, country_code, and territory_code Other common examples of numeric data elements are sizes, telephone numbers, and Zip codes All of these examples are clearly dimensions They will be used to provide context for facts, to order data, to control aggregation, or to filter query results Some numeric attributes are less easy to identify as dimensions For example, the unit price associated with an order is numeric.

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If 100 widgets are sold at $10 apiece, is the $10 unit price a fact or a dimension Recall from 1 that if an attribute is commonly aggregated or summarized, it is a fact If it is used to drive aggregations or summarizations, however, it is a dimension In the case of a unit price, it is not useful to sum unit prices across multiple orders On the other hand, it is useful to group orders by unit price, perhaps to answer the question, How many did I sell at $10 each versus $12 each The unit price is, therefore, behaving as a dimension TIP It is not always clear whether a numeric data element is a fact or a dimension When in doubt, pay close attention to how it will be used.

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You must not put a comma between the digits of a numeric constant, and not all SQL dialects allow the leading plus sign, so it's best to avoid it. For money data, most SQL implementations simply use integer or decimal constants, although some allow the constant to be specified with a currency symbol: $0.75 $5000.00 $-567.89

If the element values are used to filter queries, order data, control aggregation, or drive master detail relationships, it is most likely a dimension While unit amounts are dimensions, extended amounts are facts As you will see later in this chapter, multiplying a unit amount by the transaction quantity produces a value that can be aggregated or summarized The unit amount is a useful dimension, and the extended amount is a useful fact Both have their place in the dimensional design..

Alternatively, you can add existing database logins to a database by doing the following: 1. Expand the database for which you want to add users. 2. Right-click the Database Users folder and select New Database User. 3. Select a Login Name. You can use the login name as the username within the database, or you can assign a unique name. 4. Add the users to any existing database roles (described later).