Handbook of Data Management: 1999 Edition (English Edition)

Handbook of Data Management: 1999 Edition (English Edition)

作者
Sanjiv Purba
语言
英语
出版社
Auerbach Publications 版次:第 1st 版
出版日期
2019年7月23日
纸书页数
1101页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
28068 KB
下载次数
5707
更新日期
2023-06-22
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

Packed with dozens of no-nonsense chapters written by leading professionals, Handbook of Data Management, 1999 Edition shows your students how to design, build, and maintain high-performance, high-availability databases in multiple environments. Handbook of Data Management, 1999 Edition is the most comprehensive, single-volume guide of its kind. The book provides the latest, most innovative solutions for planning, developing, and running a powerful data management function. Here students will find exhaustive coverage of the range of data repositories (from legacy indexed files to object data bases and data warehouses) as well as details on everything from strategic planning to maximizing database performance. Completely revised and updated to reflect latebreaking technologies, Handbook of Data Management, 1999 Edition includes extensive case studies and straightforward descriptions showing students how to:implement Web-enabled data warehouses

build multimedia databases

master data mining

use enterprise database modeling

stay up-to-date with data conversion and migration

maximize OLAP architectures and toolsHandbook of Data Management, 1999 Edition also provides ongoing coverage of the latest tools and techniques regarding:

organization for quality information systems

data definition

database design and management

object and hybrid databases

and moreEach contributor to Handbook of Data Management, 1999 Edition is an expert with first-hand experience in database and data management. These contributors provide a depth and breadth of coverage you and your students simply won't find anywhere else.Prepare your students for "real-world" business computing. Start them off with Handbook of Data Management, 1999 Edition.

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