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The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing, and Deploying Data Warehouses (Anglais) Broché – 10 septembre 1998


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Présentation de l'éditeur

"A comprehensive, thoughtful, and detailed book that will be of inestimable value to anyone struggling with the complex details of designing, building, and maintaining an enterprise–wide decision support system. Highly recommended." –Robert S. Craig, Vice President, Application Architectures, Hurwitz Group, Inc.

In his bestselling book, The Data Warehouse Toolkit, Ralph Kimball showed you how to use dimensional modeling to design effective and usable data warehouses. Now, he carries these techniques to the larger issues of delivering complete data marts and data warehouses. Drawing upon their experiences with numerous data warehouse implementations, he and his coauthors show you all the practical details involved in planning, designing, developing, deploying, and growing data warehouses. Important topics include:
∗ The Business Dimensional Lifecycle(TM) approach to data warehouse project planning and management
∗ Techniques for gathering requirements more effectively and efficiently
∗ Advanced dimensional modeling techniques to capture the most complex business rules
∗ The Data Warehouse Bus Architecture and other approaches for integrating data marts into super–flexible data warehouses
∗ A framework for creating your technical architecture
∗ Techniques for minimizing the risks involved with data staging
∗ Aggregations and other effective ways to boost data warehouse performance
∗ Cutting–edge, Internet–based data warehouse security techniques

The CD–ROM supplies you with:
∗ Complete data warehouse project plan tasks and responsibilities
∗ A set of sample models that demonstrate the Bus Architecture
∗ Blank versions of the templates and tools described in the book
∗ Checklists to use at key points in the project

Quatrième de couverture

"A comprehensive, thoughtful, and detailed book that will be of inestimable value to anyone struggling with the complex details of designing, building, and maintaining an enterprise–wide decision support system. Highly recommended." –Robert S. Craig, Vice President, Application Architectures, Hurwitz Group, Inc.

In his bestselling book, The Data Warehouse Toolkit, Ralph Kimball showed you how to use dimensional modeling to design effective and usable data warehouses. Now, he carries these techniques to the larger issues of delivering complete data marts and data warehouses. Drawing upon their experiences with numerous data warehouse implementations, he and his coauthors show you all the practical details involved in planning, designing, developing, deploying, and growing data warehouses. Important topics include:
∗ The Business Dimensional Lifecycle(TM) approach to data warehouse project planning and management
∗ Techniques for gathering requirements more effectively and efficiently
∗ Advanced dimensional modeling techniques to capture the most complex business rules
∗ The Data Warehouse Bus Architecture and other approaches for integrating data marts into super–flexible data warehouses
∗ A framework for creating your technical architecture
∗ Techniques for minimizing the risks involved with data staging
∗ Aggregations and other effective ways to boost data warehouse performance
∗ Cutting–edge, Internet–based data warehouse security techniques

The CD–ROM supplies you with:
∗ Complete data warehouse project plan tasks and responsibilities
∗ A set of sample models that demonstrate the Bus Architecture
∗ Blank versions of the templates and tools described in the book
∗ Checklists to use at key points in the project

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Amazon.com: HASH(0x9930d024) étoiles sur 5 51 commentaires
121 internautes sur 121 ont trouvé ce commentaire utile 
HASH(0x99353948) étoiles sur 5 Everything you ever wanted to know about DW .... 30 septembre 1999
Par Un client - Publié sur Amazon.com
Format: Broché Achat vérifié
but were afraid to ask. This is the definitive book on the DW lifecycle. After having worked on two not-so-perfect data warehousing projects, I found myself on more than one occasion seeing in print many of the ideas that I have either arrived at by trial and error or had a hunch were the right way to go. I would have given this book five stars, except for one thing: you really need to have read Kimball's first book, The Data Warehouse Toolkit, to get the proper foundation for reading the DW Lifecylcle Toolkit. I bought the DW Lifecycle Toolkit first thinking that I could jump right ahead. Not so. Much to my chagrin, I ended up buying the DW Toolkit and reading it first. These books really should be offered with the option to be purchased together. That way, the reader will know up front that both books are a must read.
29 internautes sur 31 ont trouvé ce commentaire utile 
HASH(0x999df4ec) étoiles sur 5 Good book, but could've been better 20 mai 1999
Par Un client - Publié sur Amazon.com
Format: Broché Achat vérifié
Not enough examples....they keep referring to other books. The book would've been awesome if it had more examples (specially designing star schema models and aggregations). I don't like to spend $40-50 each on two books just to get the examples and lot of the repeat information. The book companies and the authors are making more money by doing this, but they're not winning fans (Wiley books and Kimball)
27 internautes sur 29 ont trouvé ce commentaire utile 
HASH(0x998d1ea0) étoiles sur 5 This is clearly the BEST Data Warehouse book I've read!! 18 mai 1999
Par Un client - Publié sur Amazon.com
Format: Broché
Our organization has implemented a very successful Data Warehouse, due largely to following the design and deployment principles from Dr. Kimball's two textbooks. The key to a successful Data Warehouse is providing all business users an easy to use and high performance queryable system. The dimensional design is, without a doubt, the defacto standard for Queryable Data Warehouses, and the author does a superb job motivating its use and explaining how to develop your integrated, dimensional data warehouse. In addition, the author gives valuable advice on many, many other aspects of the process, such as assessing your readiness for proceeding with a warehouse effort. This book is a "must read" for anyone involved in a Data Warehouse project. You will have an excellent chance of succeeding with even a most complicated Data Warehouse System if you follow the wisdom in this book.
19 internautes sur 20 ont trouvé ce commentaire utile 
HASH(0x998d1dd4) étoiles sur 5 Very good, but not a one-stop shop for Data Modellers 5 mars 2003
Par Un client - Publié sur Amazon.com
Format: Broché
PROS
- Offers invaluable advice based on the authors' experience so that you don't need to re-invent the wheel or make the same mistakes they made (and subsequently learned from).
- Most useful for Project Managers/DBAs; less so for Data Modellers.
CONS
- I purchased this book on the assumption that it offered a comprehensive treatment of all stages of the Data Warehouse project lifecycle (as the cover would lead you to believe). However, it does not offer a comprehensive treatment of Dimensional Modelling. For this, the book actually assumes you have read Kimball's former book - "The Data Warehouse Toolkit - The Complete Guide to Dimensional Modeling" (which provides a full treatment and practical examples for several industry sectors).
- I did not like the writing-style. If the authors would have omitted all text like "we believe.." and "in our experience..." I'm sure the book wouldn't have used 800 pages.
CONCLUSION
This book has remained by my side throughout the project lifecycle, giving great guidance and pointers to help manage the project optimally.
However, if you are responsible for Data Modelling, you will also need to buy "The Data Warehouse Toolkit", thereby doubling the overall cost.
13 internautes sur 13 ont trouvé ce commentaire utile 
HASH(0x9963b138) étoiles sur 5 This book makes building a Data Warehouse Possible! 19 février 1999
Par Un client - Publié sur Amazon.com
Format: Broché Achat vérifié
We were at a lose on how to proceed with putting together an historical database that would track 10,000 discrete survey items from over 800 surveys per year, including survey indications, and official estimates. The real problem was doing it such a way as to make it easy to use, understandable, and accessible to all of our data analysts. We read Inmon's book and decided it would be too complicated and slow if we used his approach. Besides, we wanted true ad-hoc capabilities, and did not want to be hampered by a system that had too little data, or was being controled by someone trying to save nickles on DASD by spending dollars of our time. Kimball's book gave us what we were looking for: a way to build a data warehouse incrementally, using and tracking the lowest level of granularity in our data, and offering simplicity and service without an army of IT consultants. His engineering approach to dimensional modeling, particularly his notion of conforming dimensions puts the traditionalists, like Inmon, out to pasture.
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