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Sometimes, the data warehouse receives transactions before it receives the relevant dimensional detail. This situation occurs in data warehouses that load data at frequent intervals or in real time. A new product code, for example, may appear in a transaction before information on the product is reflected in the product dimension. As with the invalid data problem, the fact cannot be loaded if there is no row for the product in the dimension table, but excluding the transaction from the fact table understates sales. Again, the special-case row offers a solution. Rather than hold the transaction until dimensional detail is available, the fact will be associated with a special row in the dimension table indicating an unknown product. An example of such a row appears in the product table from Figure 6-11, bearing a surrogate key value of 1. When a transaction arrives for a product that is not known to the data warehouse, the transaction can be associated with this row. As in the case of the invalid data, a transaction identifier should be stored in the fact table. This will allow the row to be updated with the correct surrogate key once the dimension value is received.

As mentioned earlier, one of the main purposes of SQL Server Agent is to perform jobs automatically. A job, defined simply, is a set of actions that can be performed. The job might consist of steps that run SQL Server commands and/or notify individuals. The job can easily be scheduled to occur according to a predefined schedule. To create new jobs using Enterprise Manager: 1. Open the Management folder on the SQL Server installation on which the operator will be created. 2. Expand the SQL Server Agent item and right-click Jobs. Click New Job. From the Integrity Checks Job for DB Maintenance Plan... dialog box, you can configure the various options on the following tabs: s General In this tab, you can specify information about the job itself:

TIP Special-case rows can be added to dimensions to deal with incorrect or missing information. This avoids the need to exclude facts from the warehouse. The star should record sufficient transaction identifiers to allow the anomalous record to be identified and corrected in the future.

The advantages of the SQL2 expanded join support come at the expense of some significant added complexity for what had previously been one of the simpler parts of the SQL language In fact, the expanded join support is part of a much larger expansion of query capabilities in SQL2 which add even more capability and complexity The other expanded features include set operations on query results (union, intersection, and differences of tables) and much richer query expressions that manipulate rows and tables and allow them to be used in subqueries The expanded join-related capabilities are described in this section The other expanded capabilities are described in the next.

First, you ll need to name the job. If you were modifying a previously defined current job, you would see when it last ran. You also have options for enabling or disabling the job. SQL Server jobs can belong to a specific category. By default, the list of categories available includes the following: [Uncategorized (Local)] Database Maintenance Full-Text Jobs from MSX REPL Alert Response

The last use for special-case rows involves time. When a fact table row represents something that may expire, it is useful to record a pair of dates: the date it became effective and the date it expired. Some examples of this will be encountered when we look at accumulating snapshots in 11, Transactions, Snapshots, and Accumulating Snapshots, and coverage tables in 12, Factless Fact Tables. Data that is current has an effective date but no expiration date. In this case, a special row in the day dimension can be used to avoid the use of NULLs for the expiration_day_ key. When associated with a fact, this row signals that the expiration has not occurred. An example appears in Figure 6-12. This fact table records the assignment of employees as department managers within an organization. Each row represents an individual s tenure managing a department. The fact table has two day_keys: one for the day the individual became the manager of the department and another for the day the managerial role expired. The pair of dates can be used to

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