Handbook of Data Management1999 Edition
Written by leading industry experts, the Data Management Handbook is a comprehensive, single-volume guide to the most innovative ideas on how to plan, develop, and run a powerful data management function - as well as handle day-to-day operations. The book provides practical, hands-on guidance on the strategic, tactical, and technical aspects of data management, offering an inside look at how leading companies in various industries meet the challenges of moving to a data-sharing environment.
1139546359
Handbook of Data Management1999 Edition
Written by leading industry experts, the Data Management Handbook is a comprehensive, single-volume guide to the most innovative ideas on how to plan, develop, and run a powerful data management function - as well as handle day-to-day operations. The book provides practical, hands-on guidance on the strategic, tactical, and technical aspects of data management, offering an inside look at how leading companies in various industries meet the challenges of moving to a data-sharing environment.
250.0 In Stock
Handbook of Data Management1999 Edition

Handbook of Data Management1999 Edition

Handbook of Data Management1999 Edition

Handbook of Data Management1999 Edition

Hardcover(REV)

$250.00 
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Overview

Written by leading industry experts, the Data Management Handbook is a comprehensive, single-volume guide to the most innovative ideas on how to plan, develop, and run a powerful data management function - as well as handle day-to-day operations. The book provides practical, hands-on guidance on the strategic, tactical, and technical aspects of data management, offering an inside look at how leading companies in various industries meet the challenges of moving to a data-sharing environment.

Product Details

ISBN-13: 9780849398322
Publisher: Taylor & Francis
Publication date: 11/29/1999
Edition description: REV
Pages: 1048
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Sanjiv Purba (Infomaxium Inc., North York, Ontario, Canada) (Edited by)

Table of Contents

Definitions, Data Orientation and Administration. Data Models and Enterprise Strategies.
Data Integrity, Quality and Security. Object Technology, Modeling and Data Bases. Indexing, Performance and 15 Languages. Distributed Data Bases, Replication and Interoperability. Client/Server and Legacy Databases. Data Warehousing, Decision Support Data Mining. Directions: Multimedia, Agents and the Web.
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