Web Farming for the Data Warehouse (The Morgan Kaufmann Series in Data Management Systems)

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Reviews
Amazon.com
In Web Farming for the Data Warehouse, author Richard D. Hackathorn applies his 30-plus years of information expertise to the novel concept of "Web farming." He lays out the methodology of cultivating the global Web for information relevant to an enterprise's operation. Although this title is targeted at information managers in large organizations, the basic ideas contained within can easily be applied to businesses of all sizes to some degree.

The first part of the book, aptly titled "Plowing the Soil," presents the importance of gathering information to build institutional knowledge for competitive reasons. The author explains how Web farming fits in with the more established concept of data warehousing and emphasizes the way high-capacity information gathering can change business processes.

In the central portion of the book, the author explains the process of moving an organization to Web farming from both technological and managerial perspectives. Then he gets into the details, explaining all of the related Internet standards, information tools, and online databases waiting to be tapped. This section is amazingly comprehensive.

The book finishes with a discussion of privacy and the effects of new information technology on society. If you're interested in Web farming or simply want a taste of where the Internet is likely to take us, this title is sure to provide a fresh perspective. --Stephen W. Plain

Book Description
Web Farming is an exciting new area emerging out of data warehousing and web technology. It is defined as systematic business intelligence by farming the information resources of the Web. The objective is to enhance the contents of a data warehousing system. Data warehouses are usually based upon the contents of internal operations databases. With Web Farming, the focus can be balanced with external business factors, dealing moment by moment with global changes in the business environment.

Instead of surfing the Web haphazardly or gathering massive search results, Web Farming concentrates on an evolutionary process to systematically discover, acquire, structure, and disseminate content, constantly guided by business-critical intelligence to the enterprise. A four-stage methodology is suggested, along with growth strategy in the supporting architecture. Extensive coverage of standards, tools, and resources for Web Farming is given, along withan in-depth discussion of the important societal issues of privacy, confidentiality, intellectual property, and information espionage.

This is the first book that focuses on the critical features of Web Farming. This book will appeal to both a technical and business audience. The technical audience is anyone interested in the use of Web technology for data warehouse development, including corporate IT professionals, database administrators, network administrators, and all others who are responsible for data warehouse and data mining. The business audience is anyone interested in establishing effective business intelligence, such as strategic planners, business development managers, competitive intelligence analysts, and market researchers.

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