Data Warehousing and Web Engineering

Features

• Cover Type: Paperback with 300 pages
• Published by: IRM Press April 2002
• Written in: English
• ISBN 10 Number: 1931777020
• ISBN 13 Number: 978-1931777025
• Book Dimensions: 9.9 x 6.8 x 0.8 inches
• Weighs: 1.2 pounds

Book Description
This resource provides a forum for researchers and practitioners to share research about technical and managerial issues associated with data warehousing and mining. It also focuses on the concept of Web engineering and addresses the increasing number of e-commerce Web applications. This text covers such matters as methodology for data warehouse design, applying Web engineering concepts to Web-based e-commerce, and providing an electronic commerce framework for small and medium-sized enterprises. The topics covered provide valuable information to organizations looking for ways to implement e-commerce applications as well as data management techniques.

Download Description
Data Warehousing and Web Engineering covers two pertinent topics that are continuously advancing the effective utilization and management of information technology applications. One objective of this book is to provide a forum for researchers and practitioners to share research about technical and managerial issues associated with data warehousing and mining. The other focus of this book is the concept of Web Engineering, as it addresses how the originally intended use of the Web as a distributed system for knowledge-interchange seems to disappear, compared to the increasing number of e-Commerce Web applications. The Web as a global point of sale seems to be very promising but obviously suffered from its heritage – the coarse-grained implementation model, which makes it harder and harder to develop, run and maintain still growing E-Commerce applications. Consequently, Web Engineering concepts are applied to Web-Based E-Commerce applications. --This text refers to the Digital edition.

Reader Reviews
This is a collection of papers that cover salient issues in data warehousing with an emphasis on business intelligence, data mining and knowledge management applications. While many of the papers in this book are more useful to technical professionals, there is a lot of material that will also be useful to marketing and competitive intelligence specialists in the business domain. Some of the papers are more basic and introductory, such as "Justification of Data Warehousing Projects", "An Introduction to Information Technology and Business Intelligence" and "Some Issues in Design of Data Warehousing Systems". Some, however, address advanced topics such as "Data Mining Methods Databases and Statistics Point of Views" and "Incremental Data Allocation and Reallocation in Distributed Database Systems". My personal favorite papers were "Specification of Components Based on the WebComposition Component Model" (reflecting professional interests in component-based development), "Complementing the Data Warehouse with Information Filtered from the Web", and "Using Business Rules Within a Design Process of Active Databases" (another area of professional interest). In addition, the papers cover topics in data mining, data quality and knowledge management, which means that there is at least a few papers that will intersect with a reader's professional interests. The best audience for this book includes academics (the papers are citable), consultants who specialize in business intelligence and data mining, and organizations that have a solid base of experience with advanced uses of data warehousing. Comment | | (Report this)