barcode vb.net 2010 Part IV: Fact Table Design in Software

Generation QR Code in Software Part IV: Fact Table Design

Part IV: Fact Table Design
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Part IV provides in-depth treatment of advanced features that center on fact tables. It is composed of three chapters. 11: Transactions, Snapshots, and Accumulating Snapshots This chapter covers situations in which a standard transaction-based fact table falls short, and shows how periodic snapshots and accumulating snapshots can be put to use. 12: Factless Fact Tables Sometimes fact tables contain no facts. In this chapter, you will learn about transaction-based factless fact tables, as well as factless fact tables that capture coverage or conditions. 13: Type-Specific Stars This chapter looks at situations where subsets of data have different facts and dimensions, and shows how to make use of core and custom stars for a single process.
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Part V: Performance
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Any dimensional schema can be supplemented with additional structures that are intended to improve performance or simplify the reporting process. Part V looks at two kinds of supplemental data structures that support high performance. 14: Derived Schemas This chapter teaches you to use derived schemas to provide enhanced performance, simplify report development, or address specific departmental needs. 15: Aggregates This chapter shows how summary tables, or aggregates, can provide powerful performance boosts when implemented wisely.
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Part VI: Tools and Documentation
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The last part of this book looks at additional topics of interest for the developers of dimensional models.
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xxvi
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Star Schema: The Complete Reference
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16: Design and Business Intelligence This chapter explores the influence of business intelligence (BI) tools on your dimensional design. It explores some common dimensional features that often strain BI tools, as well as techniques to mitigate any shortcomings. 17: Design and ETL This chapter provides an overview of the process of loading the dimensional schema, and highlights numerous model features that can assist ETL developers in optimizing the process. 18: How to Design and Document a Dimensional Model This provides standard tasks and deliverables that can be worked into your data warehouse life cycle, regardless of architecture.
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Where to Start
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As mentioned earlier, you can read this book from cover to cover, or skip directly to sections that deal with a topic of interest. How you make use of it will largely depend on your current skill level.
Beginners Those new to dimensional design should start by reading Part I: Fundamentals. Once you ve finished that section, you can read the rest in sequence, or skip to any section of particular interest. If you are getting ready to start a project, you may wish to turn to the last chapter: How to Design and Document a Dimensional Model. Novices If you have some dimensional design experience, you may wish to skip the fundamentals in Part I. However, you are encouraged to review the data warehouse terms described at the end of 2. Terms like data warehouse, data mart, and source system can take on very different meanings in different architectures; 2 explains how these terms will be used in this book. If you ve done most of your learning on the job, you may also want to review 3 for standard dimensional terminology used in this book terms such as grain, natural key, and slowly changing dimension are all defined there. Experts Experienced dimensional modelers can use this book as a reference, consulting it for detailed information on design issues as they arise. A quick scan through the Table of Contents will help you find any dimensional design topic of interest. You may also wish to read the book cover to cover, enhancing your mastery of dimensional design.
Regardless of how you approach the material in these pages, it will enable you to master the principles of dimensional design, unlocking the full potential of your data warehouse.
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