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Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema, by Lawrence Corr, Jim Stagnitto
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Agile Data Warehouse Design is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders. It describes BEAM✲, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM✲ provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and entity relationship based tools and model interactively with their colleagues. The result is everyone thinks dimensionally from the outset! Developers understand how to efficiently implement dimensional modeling solutions. Business stakeholders feel ownership of the data warehouse they have created, and can already imagine how they will use it to answer their business questions. Topics include:
- Agile dimensional modeling using Business Event Analysis & Modeling (BEAM✲)
- Modelstorming: data modeling that is quicker, more inclusive, more productive, and frankly more fun!
- Telling dimensional data stories using the 7Ws (who, what, when, where, how many, why and how)
- Modeling by example, not abstraction; using data story themes, not crow's feet, to describe detail
- Storyboarding the data warehouse to discover conformed dimensions and plan iterative development
- Visual modeling: sketching timelines, charts and grids to model complex process measurement - simply
- Agile design documentation: enhancing star schemas with BEAM✲ dimensional shorthand notation
- Solving difficult DW/BI performance and usability problems with proven dimensional design patterns
- Sales Rank: #84521 in Books
- Published on: 2011-11-24
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .74" w x 8.00" l, 1.45 pounds
- Binding: Paperback
- 328 pages
About the Author
Lawrence Corr is a data warehouse designer and educator. As Principal of DecisionOne Consulting, he helps clients to review and simplify their data warehouse designs, and advises vendors on visual data modeling techniques. He regularly teaches agile dimensional modeling courses worldwide and has taught dimensional DW/BI skills to thousands of students.
Jim Stagnitto is a data warehouse and master data management architect specializing in the healthcare, financial services, and information service industries. He is the founder of the data warehousing and data mining consulting firm Llumino.
Most helpful customer reviews
24 of 25 people found the following review helpful.
Lots on the topic. This book stands alone.
By Douglas Brian
As architect of the first commercial data warehouse development methodology ITERATIONS(tm) nearly 20 years ago, I have had the opportunity to read most books written on the topic over the years. Among them are dozens of books on data warehouse design and dimensional modeling. But this book stands alone. It introduces novel concepts such as "modelstorming"--a disciplined unique *collaborative* approach to brainstorm-style business and data modeling, and BEAM (business event analysis and modeling). As well it fuses agile principles, not with development activities as most do, but with business and dimensional data modeling. The book is chalk-full of perfect examples, easy-to-grasp illustrations, handy checklists, valuable templates, and design patterns for particular types of data. Dimensional dilettantes and divas alike will benefit and find that Corr and Stagnitto have left no star schema stone unturned. --Doug Laney, VP Research, Business Analytics, Gartner (@doug_laney)
12 of 12 people found the following review helpful.
A great how-to book for dimensional modelers
By Chris Adamson
Lawrence Corr and Jim Stagnitto do a beautiful job explaining how you can use their BEAM* techniques to capture requirements and design databases. "How" is the operative word here, because this is a book about process. It is full of charts, diagrams and suggestions that will make you a more effective BI analyst.
Lawrence and Jim show how dimensional design is tailor made for agile software development, with its emphasis on business value and on getting to results. But don't skip this book just because you think agile is not for you. If you make use of dimensional models, you can make use of their methods.
A solid contribution, both to the world of agile software development, and to the cannon of dimensional modeling. If you've enjoyed any of my books, I am sure you will enjoy this one as well.
17 of 19 people found the following review helpful.
One of a kind gem.
By JP O'Connor
When it comes to dimensional modeling and related data warehouse and business intelligence (DW/BI) topics, until now the "Big Two" authors who provide truly useful books are Ralph Kimball (along with his Kimball Group colleagues) and Christopher Adamson. With the publication of Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema (ADWD), Lawrence Corr (along with his co-author Jim Stagnitto) contributes critical new information and techniques to the field - and we now have the "Big Three" dimensional design authors.
Why are these my "Big Three" BI/DW authors, and why does Lawrence Corr deserve to join the list? The numerous Kimball Group books and the three Adamson books all provide a useful blend of theoretical and practical information and techniques to guide the DW/BI professional in creating systems that are affordable, maintainable, accurate, and useful to clients. In his new book, Corr fills in a critical missing component: how to effectively engage business and technical personnel in a dialogue to perform agile design where the emphasis is on content, understandability, rigor, and usefulness, instead of on producing reams of documentation. In short, this book is about agile dimensional design including "why" and the all-important "how to" with supporting templates.
Though many of the book's topics are previously addressed by other authors, Corr expands upon these and presents a large set of fresh ideas and techniques that are robust and adaptable, while incorporating the concepts of the Agile Manifesto. He provides an emphasis on collaboration and flexibility, not just on theoretic agility, while adapting a method called BEAM* (Business Event Analysis & Modeling) for dimensional design.
BEAM* is an agile modeling method that lends itself to rapid, collaborative dimensional design sessions with business and technical participants. BEAM* utilizes a set of diagram types that, taken together, provide a complete design that is understandable by business people and is immediately useful for implementation people. The diagram types are:
1. Example Data Table (or BEAM* Table) - Primary diagram type used to capture data stories and describe data requirements through sample data. Supports modeling by example rather than by abstraction, making them useful to all participants in the design activities. Uses sets of short codes to capture and indicate design details.
2. Hierarchy Chart - Shows hierarchical relationships among related entities within a dimension. This is a much cleaner and more concise version of the traditional dimensional hierarchy chart.
3. Timeline - Concisely captures sequences and durations as an aid to understanding and design.
4. Event Matrix - A fresh twist on the classic fact/dimension matrix, with better organization, which provides an accessible overview of multiple star data mart and data warehouse designs.
5. Enhanced Star Schema - Traditional star schema diagrams augmented with BEAM* codes to indicate dimensional design aspects that are not supported by traditional modeling tools.
These "tools" facilitate design discussions, detailed design work, communication, implementation, and provide concise yet through documentation.
In addition to the methodology and diagram types, extensive coverage of the design process and the designs themselves are covered. All of the dimensional modeling basics receive thorough treatment and many of the more challenging dimensional modeling problems receive substantial coverage with mature techniques and solutions drawn from Corr and Stagnitto's extensive consulting work. Examples include several types of hierarchies and hierarchy maps, multiple calendars, time (clock time), and the always exciting Customer and Employee dimensions, among many other design challenges.
Agile Data Warehouse Design is an eminently useful book and a long-needed complement to the dimensional modeling literature.
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