Free PDF Star Schema The Complete Reference, by Christopher Adamson
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Star Schema The Complete Reference, by Christopher Adamson
Free PDF Star Schema The Complete Reference, by Christopher Adamson
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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
- Sales Rank: #72146 in Books
- Published on: 2010-07-28
- Released on: 2010-07-07
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x .97" w x 7.40" l, 1.86 pounds
- Binding: Paperback
- 510 pages
About the Author
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.
Most helpful customer reviews
19 of 19 people found the following review helpful.
Excellent reference guide
By Steve Hoberman
This is an excellent reference guide on dimensional modeling. The book is chock full of examples (very comprehensive examples), and it is written in a very clear to the point writing style. I found myself highlighting passages, and enjoyed reading the advanced techniques such as on multi-valued dimensions and the various ways of managing history. This book assumes you know the basics of data modeling. (If you need the basics, I would make a completely unbiased recommendation for my book, Data Modeling Made Simple).
What I also like about this book is that it is architecture-independent and Chris Adamson's techniques work for various data warehouse architectures and he explains how it fits in with the more common architectures of the Hub and Bus.
I also very much appreciated the "Further Reading" sections at the end of each chapter.
12 of 12 people found the following review helpful.
Higly recommended
By Andrea Vincenzi
You won't find a more detailed book on dimensional modeling even if you look really hard!
Professional modelers who have already read Kimball's books (like the essential "The Data Warehouse Toolkit") will appreciate the fact that Chris Adamson takes the concepts expressed in those books a step further and goes into considerable more detail, which happens to be very useful, particularly with more advanced techniques.
In fact, even the most complex design situations, which used to require a lot of thinking and experience to be implemented correctly, become clear and can be mastered by anyone who has read this book, because they are explained with lots of examples and from different perspectives.
Also, the organization of the book around technical topics (Dimension design, Fact table design, Performance...) makes it easier to use it as a reference as compared to the Kimball's book, which is organized around examples taken from various different industries.
In conclusion, this is the kind of book that leaves no gaps between theory and practice, I highly recommend it.
12 of 13 people found the following review helpful.
Great for both Star and Snowflake Schemas
By Jaewoo Kim
This book really deserves its 5 stars. It is, by far, the best book on data warehousing I have ever read.
Not only is the content very precise and comprehensive, but it is also very well written.
Data Warehousing concepts are notoriously difficult to explain. That's why so many well-meaning DW books comes short. If you can only read one book on DW design, then make it this one.
Contrary to the title, the book covers Snowflake Schema quite adeptly, and the author is careful to list all the pros and cons of going from Star to Snowflake. That leap from star to snowflake should always be taken with considerable thought.
The book is light both on data analytics and ETL. This book is almost all about Star and Snowflake schemas.
Pros:
1)The best book on data warehousing design I have ever read.
2)Comprehensive AND in-depth coverage of both Star and Snowflake schemas.
3)Very well written.
Cons:
1)Doesn't cover much outside of data warehousing. It has light coverage of data analytics and ETL.
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