eWeek Analyst Choice Award and Top 10 Product of 2004 I.E. Readers’ Choice Award: Best DBMS for Data Warehousing for last 7 of 8 years CRN recommends 5/5 stars DM Review 2005 Winner of Readers Award for Database and Data Store InfoWorld “Database of
Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . You'll get clear explanations of the goals an
Oracle 官方数据仓库指南，讲解透彻，知识权威,强烈推荐！ Oracle® Database Data Warehousing Guide 10g Release 2 (10.2) Contents： Part I Concepts 1 Data Warehousing Concepts Part II Logical Design 2 Logical Design in Data Warehouses Part III Physical Design 3 Physical Design
The Art of SQL Dedication Preface Why Another SQL Book? Audience Assumptions This Book Makes Contents of This Book Conventions Used in This Book Using Code Examples Comments and Questions Safari® Enabled Acknowledgments Chapter 1. Laying Plans Secti
discuss mining with respect to web data referred here as web data mining. In particular, our focus is on web data mining research in context of our web warehousing project called WHOWEDA (Warehouse of Web Data). We have categorized web data mining i
数据挖掘经典书籍 Review "...this is the daddy of data warehousing process books. No other material available so concisely and precisely explains what is required from a data warehousing solution...this is a great book..." -- Enterprise Server Magazine, July
部分内容摘要： 1.More scalable out of the box 2.Highly secure out of the box 3.More high availability options 4.Easier to set up in enterprise environments Simplified management 5.Supports rapid database development and deployment 6.XML-enabled for all you
Abstract Advancements in technology have made relationship marketing a reality in recent years. Technologies such as data warehousing, data mining, and campaign management software have made customer relationship management a new area where firms ca
Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions Pedro Nuno San-Bento Furtado University of Coimbra, Portugal English version Contents Chapter 1 Data Warehouse Architectures: Practices and Trends Chapter 2 Improving
