Features
- Cover Type: Paperback with 800 pages
- Published by: Wiley August 13, 1998
- Written in: English
- ISBN 10 Number: 0471255475
- ISBN 13 Number: 978-0471255475
-
Book Dimensions:
9.2 x 7.4 x 1.7 inches
- Weighs: 2.6 pounds
Product Review
In
The Data Warehouse Lifecycle Toolkit, authors Ralph Kimball, Laura Reeves, Margy Ross, and Warren Thornthwaite present a structure for undertaking the awesome 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
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 greater 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
Reader ReviewsI wish Kimball would get off his anti-relational & E/R kick. Yes star schema provides the most efficient and understandable design for datamarts, as people tend to think dimensionally and hierarchicly. But 'dimensional modelling' is just de-normalization for performance and understandability. If your staging area or ODS is not 3NF, you haven't a hope of resolving cross-deparmental issues and coming up with enterprise query capability. To balance Kimball's viewpoint you must read something like 'Data Stores, Data Warehousing and the Zachman Framework' as well.
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