Download Web data management: a warehouse approach PDF Free - Full Version
Download Web data management: a warehouse approach by Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Web data management: a warehouse approach
The existence of huge data volume on the Web has fueled an unrelenting need to locate the "right information at the 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. It 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. This "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 and to simplify all key issues * Highlights change management and knowledge discovery, two important applications of web warehouses With its accessible style and emphasis on practicality, the book delivers an excellent survey for all current principles for structured, web-based data-management technologies. Database-management systems developers, enterprise web-site developers, and applied R&D researchers will find the work an essential companion for new concepts, development strategies, and application models.
Detailed Information
| Author: | Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng |
|---|---|
| Publication Year: | 2004 |
| ISBN: | 387001751 |
| Pages: | 488 |
| Language: | English |
| File Size: | 8.24 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Web data management: a warehouse approach Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Web data management: a warehouse approach PDF?
Yes, on https://PDFdrive.to you can download Web data management: a warehouse approach by Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Web data management: a warehouse approach on my mobile device?
After downloading Web data management: a warehouse approach PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Web data management: a warehouse approach?
Yes, this is the complete PDF version of Web data management: a warehouse approach by Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng. You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Web data management: a warehouse approach PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
