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The query produces six rows of query results, showing the matched girl/boy pairs and the unmatched girls. The unmatched boys are missing from the results. Similarly, the right outer join between two tables is produced by following Step 1 and Step 3 in the previous numbered list but omitting Step 2. The right outer join thus includes NULL-extended copies of the unmatched rows from the second (right) table but does not include the unmatched rows of the first (left) table. Here is a right outer join between the GIRLS and BOYS tables: List girls and boys in the same city and any unmatched boys. SELECT *

Star Schema: The Complete Reference is divided into six parts, each of which focuses on a major category of dimensional design techniques. A summary of each section follows. For additional details, you may wish to scan the Table of Contents.

Figure 6-21.

Part I focuses on the fundamentals of dimensional design. It includes chapters that focus on process measurement, data warehouse architecture, and star schema design. 1: Analytic Databases and Dimensional Design The fundamentals of process measurement are introduced in this chapter, including facts, dimensions, and the star schema. 2: Data Warehouse Architectures Three very different architectures make use of the star schema, including those advocated by W.H. Inmon and Ralph Kimball. This chapter sorts through each architecture s use of the star, and highlights how the same terms take on different meanings in each paradigm. 3: Stars and Cubes In this chapter, you will learn the fundamentals of star schema design and slowly changing dimensions, and explore the different ways cubes may be incorporated into a data warehouse architecture.

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6:

Part II takes the first steps out of the neat and perfect world of the simple example and ventures into the real world of complex designs. It deals with a fundamental challenge that novice designers must learn to tackle: modeling different business processes as different stars. 4: A Fact Table for Each Process This chapter teaches you how to identify discrete processes and provide separate stars for each. It also looks at how to produce analysis that crosses process boundaries. 5: Conformed Dimensions The concept of conformed dimensions allows you to support and compare a variety of business processes, ensuring compatibility even if implementations make use of different technologies. Dimensional conformance is often considered to be of strategic importance, and can serve as the basis of a roadmap for incremental implementation.

However, if you wish to use the parameters out of order, you need to specify the parameters by name. Here is an example:

FROM GIRLS, BOYS WHERE GIRLS.CITY =* BOYS.CITY GIRLS.NAME ---------Mary Mary Susan Betty NULL NULL GIRLS.CITY ---------Boston Boston Chicago Chicago NULL NULL BOYS.NAME --------John Henry Sam Sam James George BOYS.CITY --------Boston Boston Chicago Chicago Dallas NULL

Part III dives deeply into advanced techniques that surround the dimensions of a dimensional design. It is divided into five chapters. 6: More on Dimension Tables In this chapter, you will learn how to determine what dimensions to place in the same table, how to stem unmanageable growth in dimension tables, and how to handle information that is optional or unavailable.

sp_addumpdevice @logicalname = 'dumpdev1', @devtype = 'disk', @physicalname = 'c:\mssql7\backup\dumpdev1.bak'

7: Hierarchies and Snowflakes This chapter explores the technique known as snowflaking, and explains how modeling attribute hierarchies may facilitate the implementation of reporting tools. 8: More Slow Change Techniques This chapter goes beyond the basic type 1 and type 2 slow changes presented in 3, covering type 3 slow changes, time-stamping techniques, and hybrid slow change responses. 9: Multi-Valued Dimensions and Bridges Sometimes, a dimension can take on multiple values with respect to a single fact, such as multiple salespeople collaborating on a single order. This chapter explores techniques for dealing with these situations, from simple flattening to the use of bridge tables. 10: Recursive Hierarchies and Bridges Dimensions often embody recursive hierarchies, such as departments that report to other departments. This chapter shows how to flatten these hierarchies for a simple solution, and how to make use of a hierarchy bridge for powerful and flexible analysis.