Features
- Cover Type: Hard Cover with 528 pages
- Published by: Wiley-Interscience
- Edition: 1st Edition August 3, 2001
- Written in: English
- ISBN 10 Number: 0471412546
- ISBN 13 Number: 978-0471412540
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Book Dimensions:
10.1 x 7 x 1.2 inches
- Weighs: 2.4 pounds
Product Review
"Ponniah's work will appeal to IT professionals who already design, implement, or maintain data warehousing systems as well as novices to the subject." (
SciTech Book News, Vol. 25, No. 4, December 2001)
"Ponniah's work will appeal to IT professionals who already design, implement, or maintain data warehousing systems as well as novices to the subject. --
SciTech Book News, Vol. 25, No. 4, December 2001
Product Description
Geared to IT professionals eager to get into the all-important field of data warehousing, this book explores all topics needed by those who design and implement data warehouses. Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, implementation, and maintenance. They'll also find a wealth of industry examples garnered from the author's 25 years of experience in designing and implementing databases and data warehouse applications for major corporations.
Market: IT Professionals, Consultants.
Reader ReviewsThis is one of the best introductory books on data warehousing I've read. The authors make few assumptions of reader knowledge beyond the fact that they are IT professionals who have a technical background that doesn't necessarily include database and data warehouse knowledge. They do assume a basic knowledge of IT operations, project management skills and systems analysis and design - skills that IT professionals are expected to have. The book is divided into five parts: Overview and Concepts, Planning and Requirements, Architecture and Infrastructure, Data Design and Data Preparation, and Implementation and Maintenance. These follow a development life cycle, making the structure of the book easy to follow. What I like about this book is it doesn't just cover the theory and concepts (which it does do well), but sets data warehousing in the context of a larger architecture designed to meet specific business requirements. I also like the way the authors address real world issues such as planning and managing a data warehouse project, and the issues and factors surrounding adding a data warehouse into an existing technical architecture. This information is what IT professionals are seeking when they are faced with a technology with which they may not have strong knowledge, and it makes this book useful to the intended audience. Among the chapters that I most liked are: Principles of Dimensional Modeling, Data Extraction, Transformation, and Loading, and Data Quality: A Key to Success. These capture the essence of data warehousing in my opinion and are topics that IT professionals without a data background need to understand. I also thought that each of the appendices were useful. They provided a finishing touch by covering project life cycle steps and checklists, critical success factors and guidelines for evaluating vendor solutions - each of which provide practical information.