Filtering the Web to Feed Data Warehouses is popular PDF and ePub book, written by Witold Abramowicz in 2011-06-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Filtering the Web to Feed Data Warehouses can be Read Online from any device for your convenience.

Filtering the Web to Feed Data Warehouses Book PDF Summary

Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based on structured information stored in organizational databases, which means that the company is isolated from the business environment by concentrating on their internal data sources only. It is therefore vital that organizations take advantage of external business information, which can be retrieved from Internet services and mechanically organized within the existing information structures. Such a continuously extending integrated collection of documents and data could facilitate decision-making processes in the organization. Filtering the Web to Feed Data Warehouses discusses areas such as: - how to use data warehouse for filtering Web content - how to retrieve relevant information from diverse sources on the Web - how to handle the time aspect - how to mechanically establish links among data warehouse structures and documents filtered from external sources - how to use collected information to increase corporate knowledge and gives a comprehensive example, illustrating the idea of supplying data warehouses with relevant information filtered from the Web.

Detail Book of Filtering the Web to Feed Data Warehouses PDF

Filtering the Web to Feed Data Warehouses
  • Author : Witold Abramowicz
  • Release : 28 June 2011
  • Publisher : Springer Science & Business Media
  • ISBN : 9781447101376
  • Genre : Computers
  • Total Page : 277 pages
  • Language : English
  • PDF File Size : 10,9 Mb

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