ABSTRACT

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

part Section I|73 pages

Data Development Methodologies, Definitions, and Strategy

chapter Chapter 2|19 pages

A Review of Database System Terminology

chapter Chapter 3|12 pages

Developing a Globa Information Vision

chapter Chapter 6|6 pages

Building an Integrated Customer Profile

chapter Chapter 7|5 pages

Divestiture IT Planning

part Section II|112 pages

Data Models and Modeling Techniques

chapter Chapter 9|16 pages

Physical Database Design

chapter Chapter 12|14 pages

Component Design for Relational Databases

part Section III|57 pages

Data Integrity and Quality

chapter Chapter 15|7 pages

The Quality Vortex

chapter Chapter 16|11 pages

What's Wrong With My Data?

chapter Chapter 18|8 pages

Referential Integrity for Database Design

chapter Chapter 19|11 pages

Data Quality: An Architectural Solution

part Section IV|73 pages

Data Administration, Security, and Operations

part Section V|46 pages

Data Migration, Conversion, and Legacy Applications

chapter Chapter 25|9 pages

Data: Everchanging and Eternally the Same

chapter Chapter 26|9 pages

A Practical Example of Data Converzion

chapter Chapter 27|7 pages

Legacy Database Conversion

chapter Chapter 28|16 pages

Data Conversion: Doing it Right the First Time

part Section VI|99 pages

Database Servers and Universal Server Technology

part Section VII|85 pages

Object Technology, Object Modeling, and Object Databases

part Section VIII|60 pages

Distributed Databases, Portability, and Interoperabi1ity

part Section IX|39 pages

Data Replication

part Section X|69 pages

Data and the Internet, Intranets, and the Web

part Section XI|53 pages

Data Warehousing, Decision Support, and OLAP

part Section XII|53 pages

Data Mining

chapter Chapter 60|6 pages

Is Data Mining Merely Hype?

chapter Chapter 61|12 pages

Discovering Knowledge in Corporate Databases

chapter Chapter 62|8 pages

Data Mining: Exploring the Corporate Asset

chapter Chapter 64|11 pages

Multimedia Databases and Data Mining

part Section XIV|38 pages

Indus try Specific and Package Solutions

part Section XV|37 pages

Linux Fundamentals

chapter Chapter 77|7 pages

Linux and the Web

chapter Chapter 78|11 pages

Linux: Alternative Directions in Computing

part Section XVI|26 pages

Emerging Practices and Directions