Handbook of Data Management 1999 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 dat
1139546359
Handbook of Data Management 1999 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 dat
250.0 In Stock
Handbook of Data Management 1999 Edition

Handbook of Data Management 1999 Edition

Handbook of Data Management 1999 Edition

Handbook of Data Management 1999 Edition

eBook

$250.00 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


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 dat

Product Details

ISBN-13: 9781000083217
Publisher: CRC Press
Publication date: 12/24/2021
Sold by: Barnes & Noble
Format: eBook
Pages: 1064
File size: 31 MB
Note: This product may take a few minutes to download.

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.
From the B&N Reads Blog

Customer Reviews