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Throughout this book, the acceptable forms of a SQL statement are illustrated by a syntax diagram, such as the one shown in Figure 5-2. A valid SQL statement or clause is constructed by "following the line" through the syntax diagram to the dot that marks the end of the diagram. Keywords in the syntax diagram and in the examples (such as DELETE and FROM in Figure 5-2) are always shown in UPPERCASE, but almost all SQL implementations accept both uppercase and lowercase keywords, and it's often more convenient to actually type them in lowercase.

The solution to both these challenges introduces a new kind of table, called a bridge Think of a bridge table as a double-edged sword It provides the ultimate power and flexibility, enabling a wide variety of analytic possibilities This power comes with significant costs, and chief among these is risk Put simply, the presence of a bridge increases the possibility that the schema can be misused, producing inaccurate results The specter of this risk is so great that many shops will refuse to consider using a bridge at all This rejection, however, may severely cripple the analytic capabilities of a dimensional solution Alternatives are available, but their analytic flexibility is limited Before dismissing the bridge out of hand, you and your colleagues must understand it fully Only then can you make an informed decision that balances the power and risk of the various options.

3. Change the file, filename, and filegroup properties to match the storage requirements you chose earlier. To change filegroup settings for an existing database using Transact-SQL, use the following commands: ALTER DATABASE database { ADD FILE <filespec> [,...n] [TO FILEGROUP filegroup_name] | ADD LOG FILE <filespec> [,...n] | REMOVE FILE logical_filename | ADD FILEGROUP filegroupname | REMOVE FILEGROUP filegroup_name | MODIFY FILE <filespec>

This discussion will begin by calling to the fore the previously implied one-to-many relationship of most dimension tables to the facts The challenges of multi-valued dimension tables and multi-valued dimension attributes will then be studied in turn You will learn the.

Variable items in a SQL statement (such as the table name and search condition in Figure 5-2) are shown in lowercase italics. It's up to you to specify the appropriate item each time the statement is used. Optional clauses and keywords, such as the WHERE clause in Figure 5-2, are indicated by alternate paths through the syntax diagram. When a choice of optional keywords is offered, the default choice (that is, the behavior of the statement if no

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limitations of trying to address these challenges with a standard design, how a bridge can solve the problem, and the potential consequences. You will also be provided with techniques to mitigate such consequences, and challenged to think about slow-change processing in a new light.

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Table 4-4 lists common information schema views and the typical purpose of each. It is important to note that the information schema views are security-dependent. That is, users will only be able to see information about objects to which they have been granted the appropriate permissions. Again, a complete list of all the views is available in SQL Server Books Online.

Until now, each star schema you have seen in this book has been characterized by a distinctive and important feature Every fact has been related to exactly one instance value of each dimension In an order_facts table, for example, each order is related to exactly one product Looking at these relationships from the opposite direction, it has also been true that each dimension value may be related to one or more fact table rows Putting these characteristics together, we say that dimensions and facts have a one-tomany relationship A one-to-many relationship is sometimes called other names, such as master detail or parent child The fact table is sometimes referred to as a dependent entity, since its definition depends on the primary keys of other tables These terms all indicate the same thing: each fact is related to exactly one row in each dimension table.

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