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Data Warehousing, Data Mining, and OLAP (Data Warehousing/Data Management), by Alex Berson, Stephen J. Smith
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This reference provides strategic, theoretical and practical insight into three information management technologies: data warehousing, online analytical processing (OLAP), and data mining. It shows how these technologies can work together to create a new class of information delivery system: the information factory. The book includes models and indexing techniques, and discusses application development using OLAP tools. Alex Berson is the author of "Client/Server Computing", and co-author (with George Anderson) of "Client/Server Database Design with Sybase" and "Sybase and Client/Server Computing".
- Sales Rank: #3410595 in Books
- Published on: 1997-11-05
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 7.50" w x 2.00" l,
- Binding: Hardcover
- 640 pages
From the Back Cover
Optimize your organization's data delivery system! Improving data delivery is a top priority in business computing today. This comprehensive, cutting-edge guide can help-by showing you how to effectively integrate data mining and other powerful data warehousing technologies. You'll learn how to: Use data warehousing to establish a competitive advantage; Solve business problems faster by exploiting online analytical processing (OLAP); Evaluate various data warehousing solutions (including SMP and MPP, parallel database management systems, metadata, OLAP, etc.); Leverage your data warehousing utility via the Internet, client/server computing, and various data mining tools. In addition to providing a detailed overview and strategic analysis of the available data warehousing technologies, the book serves as a practical guide to data warehouse database design, star and snowflake schema approaches, multidimensional and mutirelational models, advanced indexing techniques, and data mining. You'll also learn how to compare different data mine technologies and products, and understand how they fit into your overall business and data processes. Intended for IS professionals as well as strategic planners, this fascinating book can be well relied upon as the essential reference to the standards, tools, technologies-and possibilities-of data warehousing today.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Good, considering too much AND too little information
By Chris Baker
If you are an IT professional with a good breadth of knowledge about the structure of enterprise data, systems and statistics, yet you are not sure what Data Warehousing, Data Mining or OLAP are, and are not even sure you know how to spell them, then this book is for you. (Rather limited audience if you ask me)
For the technically savvy, this book is excellent in covering, in minute detail, all of the possible needs, uses and commercial systems/products available to do Data Warehousing, Data Mining and/or OLAP. The tremendous amount of possibilities naturally causes this volume to lack the depth to actually guide a reader to an understanding of how they can implement these concepts. I do complement the author in possessing/researching such a tremendous amount of material. A downside is the fact that this book is instantly outdated because it is describing current technology (As of the writing of this book).
For non-technical Management and Executives however, this book will likely only confuse you to death and cause you to frown vehemently at the next person who recommends a Data Warehousing or OLAP strategy for your organization.
If you fit the profile that should read this book however, this is a great primer/eye opener to a rather large subject area called Enterprise Intelligence. Break out your reading glasses, (the print is small) set aside a good chunk of time, (the book is huge) and read it. Then find the suitable follow-up books that are in line with your new interests with Enterprise Intelligence. Keep a narrow focus when picking one of these. If you are a manager or executive, hire a team. This is a lot of stuff, and the need for this stuff is so painfully apparent that your business can not wait 4 years for you to learn this stuff.
1 of 1 people found the following review helpful.
Good breadth, little depth.
By Daphne S. Freeman
If new to the domain of Business Intelligence/Data Warehousing, this book will provide a better than average job of arming you with enough technical information to make you dangerous in your "new territory". However, if you're seeking more depth in any of the title's areas or are looking for something "less-technical" (e.g., more of a business justification), other books would serve as a better reference. Nonetheless, for its broad coverage, this book is a good addition to any BI/DW practitioner's technical library.
1 of 1 people found the following review helpful.
Great Book on Concepts and Motivations
By A Customer
I read this book a couple of years ago, then found it useful again recently when my work re-involves building data warehouses. This book has clear coverage on many topics in database and data warehouse. Authors often include descriptions of technologies as well as the motivation of using such technologies.
This is not a book that walks you step by step to implementations, but it is a book that will help you understand the technologies. Step by step guides are product specific, and extremely lacking in this area.
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