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3. Define the MSXOperator This operator account will be created on the Master server and each of the Target servers. Multiserver processes will use this account for sending notifications as defined in jobs and alerts. Click Next. 4. Select Target Servers On this page, you choose which servers will be defined as Target (TSX) servers. Each of the servers you add to this list will be available when you perform remote operations. If you haven t already done so, you can register remote servers in Enterprise Manager now by using the Register Server button. To register a server, you must have a valid login to that machine. Click Next. 5. Enter a Description for Target Servers Here you are given the opportunity to define additional information for Target servers. This can be useful for keeping track of the purpose and function of each of the machines. Click Next. If SQL Server Agent on one or more Target server(s) is not running under a valid security account, you will be prompted to correct the situation before you can continue. For more information on setting the service account, see Configuring SQL Server Agent, earlier in this section.

Cross Joins and Union Joins in SQL2 *

The presence of a NULL in a dimension column can provide undue complication when trying to build reports and should be avoided When it is not possible to relate a fact table row to one of the associated dimensions, do not use a NULL foreign key Instead, add a row to the dimension table for the situation, and link to that row Questions that use past behavior to interpret facts require SQL that is complex and performs poorly Instead, add behavioral dimensions that will capture information about past behavior These are easy to use and provide for powerful analytics There is still a lot more to say about dimensions The next chapter explores the implied relationships among attributes within a dimension table, with a look at hierarchies, snowflaking, and the use of outriggers.

6. When you re ready to perform the necessary operations, click Finish to begin running the tasks that are necessary for registering the appropriate servers. Figure 6-23 shows a sample list of tasks. Once you have defined a Master and Target server(s), you will be able to schedule jobs and alerts to work on remote machines. Additionally, all information from these actions can be logged from a central location. In environments that have many jobs and alerts, you might choose to create a SQL Server installation as a Master server for just this purpose. In any case, if you re responsible for managing more than a handful of SQL Server machines, multiserver administration is a valuable asset!

Slowly changing dimensions are revisited in 8, which provides some advanced alternatives to type 1 and type 2 slow changes 9 looks at what to do when a dimension or attribute repeats an indeterminate number of times, and 10 deals with recursive hierarchies..

The SQL2 support for extended joins includes two other methods for combining data from two tables A cross join is another name for the Cartesian product of two tables, as described earlier in this chapter A union join is closely related to the full outer join; its query results are a subset of those generated by the full outer join Here is a SQL2 query that generates the complete product of the GIRLS and BOYS tables: SELECT * FROM GIRLS CROSS JOIN BOYS By definition, the Cartesian product (also sometimes called the cross product, hence the name "CROSS JOIN") contains every possible pair of rows from the two tables It "multiplies" the two tables, turning tables of, for example, three girls and two boys into a table of six (3 x 2 = 6) boy/girl pairs.

In addition to the standard backup and recovery operations we ve covered throughout this chapter, there are various ways to move data into and out of your SQL Server databases. In this section, we ll look at how you can generate scripts for all of your database

When you are facing issues surrounding advanced topics like the ones in this chapter, it is always valuable to have additional examples to study. Most sources do not go into the same depth as this book, but here are some places where you can find other designs that address these topics. Mini-Dimensions Kimball and Ross provide a detailed example of the mini-dimension technique in 6 of The Data Warehouse Toolkit, Second Edition (Wiley, 2002). They show how removing demographic attributes from a customer table can stem growth. They also use range groupings for the mini-dimension s demographic characteristics, in much the same way that this chapter did with behavioral attributes. In 3 of Data Warehouse Design Solutions (Wiley, 1998), Mike Venerable and I provide a demographic mini-dimension in a banking scenario. This example offloads dimensional attributes from a household dimension, and it works out well because many banks get demographic data from an external source at a less frequent time interval.

Figure 6-23.