- Paperback: 638 pages
- Publisher: McGraw Hill Education (1 July 2017)
- Language: English
- ISBN-10: 0070587418
- ISBN-13: 978-0070587410
- Product Dimensions: 46.5 x 6.4 x 61 cm
- Average Customer Review: Be the first to review this item
- Amazon Bestsellers Rank: #56,366 in Books (See Top 100 in Books)
DATA WAREHOUSING, DATA MINING, & OLAP Paperback – 1 Jul 2017
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This definitive, up-to-the-minute reference provides strategic, theoretical and practical insight into three of the most promising information management technologies--data warehousing, online analytical processing (OLAP), and data mining--showing how these technologies can work together to create a new class of information delivery system: the Information Factory. It comprehensively covers data warehouse design (using various approaches, models and indexing techniques), relational data base mining, data warehousing on the Web, and data replication. Several chapters discuss application development with popular OLAP tools.
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.See all Product description
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Most helpful customer reviews on Amazon.com
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.