Data Warehouse Lifecycle Toolbox: Expert Methods for Designing, Developing, and Deploying Data Warehouses

Author: Ralph Kimball, Laura Reeves, Margy Ross, Warren Thornthwaite, Xiao Ming, Wang Yonghong, etc.
Publisher:
Publish Date: 2004-01-01
Features: "The Data Warehouse Lifecycle Toolkit" received rave reviews upon its release. On the Barnes & Noble.com website, a reader commented, "Despite years of experience in project management and data modeling, I believe this book is the best reference source for solving problems related to project management and the data warehouse lifecycle." Another reader noted, "This book is even more valuable than the previous edition, as it explores almost every aspect of data warehouse design, implementation, operation, maintenance, and management." The book delves into two key themes: the business dimension lifecycle methodology and the data warehouse bus architecture. The primary audience for this book should be designers or managers involved in the creation and management of data warehouses. It is slightly technical. This is a renowned work by the famous data warehouse author Ralph Kimball, a bestseller worldwide. It is currently the only book that presents the knowledge and lessons learned for making data warehouse projects successful from both technical and managerial perspectives. These insights are based on the author's extensive experience in hundreds of data warehouse installations and consulting tasks since 1982. The two appendices at the end of the book provide numerous frameworks, tasks, templates, and vivid, detailed examples (specific details can be found on the companion CD that comes with the book), all of which make this book unique. The book covers a wide range of topics, offers profound insights, is comprehensive in content, and is richly illustrated. It serves as an important guide for modern information system developers, a senior reference for all design, development, management, and consulting personnel involved in data warehouse projects, and is also suitable as a teaching reference for college and university students in information management, information systems, computer applications, and e-commerce. Additionally, it can be used as a reference for technical personnel working in traditional database systems.