Product Description

"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

Product Details

• Amazon Sales Rank: #176982 in Books
• Published on: 1998-09-10
• Original language: English
• Number of items: 1
• Binding: Paperback
• 800 pages

Amazon.co.uk Review
In The Data Warehouse Lifecycle Toolkit, authors Ralph Kimball, Laura Reeves, Margy Ross and Warren Thornthwaite present a structure for undertaking the mammoth task of implementing a data warehouse. As part of a rather select group of professionals actually experienced in building data warehouses, the authors attempt to convey their expertise about how to approach the job. The book focuses on the "Star Lifecycle"--a high-level, project-planning approach to evolving existing information systems into an ever-changing data-warehouse solution. --Stephen Plain, Amazon.com

Robert S. Craig, Vice President, Application Architectures, Hurwitz Group, Inc.
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.

From the Back Cover
"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

Customer Reviews

The best book on data warehousing
I have had this book for a while now, dipping in to useful parts now and again without having had the time to read it from cover to cover.
However, recently I have been able to read it from start to finish and I wish I had done so sooner.

The book covers the 'how to' of data warehousing, but the thing that makes the book excellent is that it places this information in the context of the lifecycle of typical data warehouse projects.

The book is long... very long. But everyone on data warehousing projects should read this book, if only to encourage a common mindset. The examples and templates are also very useful.

Good, but too management-like, not technical enough
This is quite a good book but it is too management-like for me.
It covers the whole data-warehouse process including business requirement gathering and project management.
If you want a more technically orrientated book that covers the all important modelling aspects, Kimballs other book "The data warehoue toolkit - the complete guide to dimensional modelling" is much much better.
I can't help thinking that Kimball et al wrote this book after that modelling one in an attempt to cash in on the sucess of the modelling book.
In summary, if you're a technician buy the modelling book - if you're a manager who wants an overview, buy this one.

The must have book for anybody involved in data warehousing
If you don't have this book, and you are involved in any way with a data warehouse project, buy it now and read it from cover to cover.

This is the best book on data warehousing ever written.

The book contains everything you need to know to build a data warehouse, from project management thru to support and implementation.