Can I read Web Data Management: A Warehouse Approach (Springer Professional Computing) on EtoBox?

Web Data Management: A Warehouse Approach (Springer Professional Computing) by Sourav S. Bhowmick, Wee Keong Ng, Sanjay K. Madria (auth.) is a nonfiction available to read on EtoBox.

What is Web Data Management: A Warehouse Approach (Springer Professional Computing) about?

The existence of huge data volume on the Web has fueled an unrelenting need to locate "right information at right time," as well as to effectively develop an integrated, comprehensive information source. This calls for tools for efficiently analyzing and managing web data—and for efficiently managing web information from the database perspective. This comprehensive resource presents a data model called WHOM (WareHouse Object Model) to represent HTML and XML documents in the warehouse. The book defines a set of web-algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. Its "web-warehouse approach" incorporates modern and effective shared web data-management concepts, methods, and models. Features & Benefits: \*Presents a simple and generic data model for representing metadata, structure, and content of Web documents and hyperlinks \*Addresses schema-related issues for both HTML and XML data, with their associated challenges of irregularity and heterogeneity \*Describes a web algebra for manipulating warehoused data \*Utilizes numerous examples to illustrate various concepts of web data management

Who reads Web Data Management: A Warehouse Approach (Springer Professional Computing)?

Author

Sourav S. Bhowmick, Wee Keong Ng, Sanjay K. Madria (auth.)

Publisher

WEE KEONG NG,SPRINGER

Published

2004

Language

EN

ISBN

9786610188871

Category

nonfiction

Subjects

Computer Science, Management, Technology