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imensional design is a pillar of every modern-day data warehouse architecture. Based on a disarmingly simple approach to process measurement, dimensional design enables extraordinarily powerful analytics. The products of dimensional design the star schema, the snowflake, and the cube can be found in virtually every data warehouse implementation. Despite this popularity, relatively little is written about dimensional design. Although some outstanding works are available, most assume a particular architecture or philosophy my own prior work included. Additionally, these treatments are organized around vertical industries or major business functions, making them difficult to refer to when faced with a specific design challenge. This book is a complete reference to dimensional design the first intended for any reader. The best practices presented in this volume cut across all architectures, including those espoused by W.H. Inmon and Ralph Kimball. Organized around the key concepts of dimensional design, this book provides full, in-depth treatment of each topic, sequenced in a logical progression from fundamentals through advanced techniques. This book is designed for both beginners and experts in dimensional design. If you are a beginner, it is the ideal place to start. Each chapter provides you with best practices and their underlying rationale, detailed examples, and the criteria you need to make design decisions. If you are an expert, you will be able to use this guide as a reference. Whenever you face a particular design challenge, you will find a chapter or section dedicated to the topic. Dimensional design enables profoundly powerful business analysis. A solid understanding of the underlying principles is essential, whether you are directly involved in design activities, work with dimensional data structures, manage projects, or fund implementations. Mastery of the techniques and best practices in this book will help you unleash the full potential of your data warehouse, regardless of architecture, implementation scope, or software tools.
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This book has been designed as a complete, in-depth reference for anyone who works with dimensional data the star, the snowflake, or the cube. The content is organized into chapters and sections dedicated to the core concepts of dimensional design so you can find everything you need to know about a particular topic in one place. Each topic is treated comprehensively. Full explanations for best practices allow you to make informed design decisions based on operational realities.
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No assumptions are made about your data warehouse environment. The best practices here apply in all architectures, including those espoused by W.H. Inmon and Ralph Kimball. Specific software products are not referenced, but the ways in which your tools may influence design decisions are fully explored. The result is a treatment that is comprehensive and useful, regardless of your level of experience, data warehouse architecture, or available tools.
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This book is organized around the core concepts of dimensional modeling, rather than a series of business scenarios by vertical industry. Focusing on these concepts allows a complete treatment of each topic, without forcing you to flip back and forth between various business cases. Each topic is explored in depth, rather than spread across multiple chapters. This comprehensive treatment of each concept allows Star Schema: The Complete Reference to serve as a useful resource. Experienced modelers will find what they need with a quick scan through the Table of Contents. Need to brush up on the implications of a snapshot design Everything you need can be found in 11. Thinking about implementing a bridge table It s all there in 9. Need to implement a hybrid slow change A complete discussion can be found in 8. Each chapter concludes with references to external treatments of the topic, should you wish to search for more examples. For those new to dimensional design, the material has been sequenced so the book can be read cover to cover. The first three chapters explore fundamentals, and subsequent sections delve deeply into various aspects of dimensional design. Help on choosing where to start is provided at the end of this introduction.
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