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Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema (Anglais) Broché – 24 novembre 2011

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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.

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22 internautes sur 23 ont trouvé ce commentaire utile 
Lots on the topic. This book stands alone. 3 février 2012
Par Doug Laney - Publié sur Amazon.com
Format: Broché
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)
10 internautes sur 10 ont trouvé ce commentaire utile 
A great how-to book for dimensional modelers 2 août 2012
Par Chris Adamson - Publié sur Amazon.com
Format: Broché
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.
16 internautes sur 18 ont trouvé ce commentaire utile 
One of a kind gem. 7 février 2012
Par JP O'Connor - Publié sur Amazon.com
Format: Broché Achat vérifié
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.
4 internautes sur 4 ont trouvé ce commentaire utile 
the gold standard for dimensional modeling, 6 stars out of 5 24 juin 2012
Par Tom Breur - Publié sur Amazon.com
Format: Broché
Corr and Stagnitto have delivered a masterpiece. It's chockfull of dimensional modeling best practices from people who have been there in the trenches, solving the most challenging data modeling problems.

A "model" should make reality look more simple. This holds for data models, or any other model, for that matter. But what does an Entity Relation model typically do? It alienates business people, the stakeholders you need so desperately for a business intelligence project to succeed.

The power of Corr & Stagnitto's BEAM methodology is twofold. First of all, it revolves around language and interactions that business people can relate to: stories and examples. This makes BEAM a truly Agile data modeling approach. And besides enabling a genuinely collaborative and data-driven approach, the output of "Modelstorming" (a pun on brainstorming) is concise, efficient, and can be then be translated to working SQL code with no additional effort. Lean and mean. To this end, Corr has developed a "Modelstormer" Excel template that he has made freely available. By executing the code, you can quickly perform data validation checks on the modeling suggestions from your business partners. It doesn't get any better, or more Agile!

Besides the BEAM methodology, the book goes into considerable detail on how to deal with some particularly tricky dimensional modeling challenges. Ragged hierarchies, recursive relationships, hybrid SCD's, and several design patterns that are notoriously difficult and interesting to optimize, form the last chapters of the book.

This book should be mandatory reading for any serious (dimensional) data modeler and information analyst in the BI space!
9 internautes sur 11 ont trouvé ce commentaire utile 
Appealing, accessible introduction 22 juin 2013
Par Dimitri Shvorob - Publié sur Amazon.com
Format: Broché
I like the book, but three stars sounds right. First, the book could use more editing: individual passages are typically fine, but their arrangement is often questionable. Second, I never quite got on board with the patented BEAM* technique, the 7W, the "modelstorming", etc. - what I would call PowerPoint-friendly brand-building razzle-dazzle. ("Agile data warehouse design"? Good job capitalizing on an IT buzzword - I notice that two more authors have followed suit and hopped on the ADWD bandwagon - but not much value added). What I do like about the book is its user-friendly, concise and mostly effective presentation of a wide range of known ideas, due to Kimball and Adamson. "The Kimball Group Reader", for example, is a 600-page collection of recycled articles, aimed at people who are already familiar with the subject; Adamson's book, though purpose-built and actually perfectly accessible, tends to go deep and draw things out; "Agile data warehouse design" is a 300-page, attractively printed and illustrated well-paced story suitable for beginners but also getting into trickier things.
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