Star Schema The Complete Reference

Star Schema The Complete Reference

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The definitive guide to dimensional design for your data warehouse

Learn the best practices of dimensional design. Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts.

This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology.

Master the fundamentals of star schema design and slow change processing

Identify situations that call for multiple stars or cubes

Ensure compatibility across subject areas as your data warehouse grows

Accommodate repeating attributes, recursive hierarchies, and poor data quality

Support conflicting requirements for historic data

Handle variation within a business process and correlation of disparate activities

Boost performance using derived schemas and aggregates

Learn when it's appropriate to adjust designs for BI and ETL tools
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Product details

  • Paperback | 510 pages
  • 185.42 x 228.6 x 27.94mm | 657.71g
  • Osborne/McGraw-Hill
  • New York, United States
  • English
  • ill
  • 0071744320
  • 9780071744324
  • 180,359

Table of contents

Part I: Fundamentals;
Chapter 1: Analytic Databases and Dimensional Design;
Chapter 2: Data Warehouse Architectures;
Chapter 3: Stars and Cubes;
Part II: Multiple Stars;
Chapter 4: A Fact Table for Each Process;
Chapter 5: Conformed Dimensions;
Part III: Dimension Design;
Chapter 6: More on Dimension Tables;
Chapter 7: Hierarchies and Snowflakes;
Chapter 8: More Slow Change Techniques;
Chapter 9: Multi-Value Dimensions and Bridges;
Chapter 10: Recursive Hierarchies and Bridges;
Part IV: Fact Table Design;
Chapter 11: Transactions, Snapshots and Accumulating Snapshots;
Chapter 12: Factless Fact Tables;
Chapter 13: Type-Specific Stars;
Part V: Performance;
Chapter 14: Derived Schemas;
Chapter 15: Aggregates;
Part VI: Tools and Documentation;
Chapter 16: Design and Business Intelligence;
Chapter 17: Design and ETL;
Chapter 18: How to Design and Document a Dimensional Model;
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About Christopher Adamson

Christopher Adamson is the founder of Oakton Software LLC and a faculty member at The Data Warehousing Institute. He works with customers in all industries to establish data warehousing strategies, define and prioritize projects, and design solutions. Chris has taught dimensional design to thousands of students worldwide, and has written numerous books and articles.
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