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Notes
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Some examples may feature design elements that are not central to the focus of the topic or section. Interesting but off-topic considerations are highlighted in Notes, which may also direct you to other chapters where the topic is fully explored. NOTE Notes are used to alert you to additional considerations dealt with elsewhere in the book, or to touch on topics not central to dimensional design.
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Further Reading
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Each chapter ends with a section on Further Reading. Here you can get information on where to find more examples of the techniques presented in the chapter. Some of these references highlight refinements or alternatives to the techniques presented; others provide examples drawn from different business cases or industries. The majority of books
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Star Schema: The Complete Reference
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cited focus on the Kimball approach to data warehouse design, but can be employed in other architectures as well.
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Contents of This Book
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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.
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Part I: Fundamentals
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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.
Part II: Multiple Stars
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.
Part III: Dimension Design
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.
Introduction
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.
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