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- 1,101 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
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About This Book
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 tools
Handbook 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 more
Each 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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Index
A
AAFES (Army and Air Force Exchange Services), 69-9-69-10
Abstract data types (ADT), 68-5
Abstract Syntax Notation One (ASN. 1), 48-11
Access control. See Data access
Accuracy of backups, 17-4-17-11
Acknowledgement codes (ACK), 54-7-54-8
Acknowledgement/negative acknowledgement (ACK/NAK), 50-8
Active data objects (ADO). See also ActiveX
benefits, 39-10-39-11
Data Access Objects, 37-4-37-8, 37-12-37-13, 39-10
remote, 37-8-37-10, 37-12-37-13
ActiveX
ActiveX Data Object, 37-10, 37-13
ActiveX DLL, 9-10
ActiveX Exe, 9-10
as component model, 38-5, 44-5-44-6, 44-8
component type choice, 39-12
Internet server components, 39-1-39-14
registering, 39-11
Adaptive Server, 31-6
ADO. See Active data objects
ADT (abstract data types), 68-5
Advanced Traveler Information System (ATIS), 51-2-51-3
Agents, 42-16, 52-5
Aggregation, 13-9, 21-10
Ahad, Rafiul, 23-6
AI (artificial intelligence), 35-1, 35-8, 35-16, 69-7-69-8
Alternative workplaces, 77-1-77-2
ANSI XI2, 78-2-78-3, 78-7
Applet Window Technology (AWT), 58-6
Application Program Interface (API), 32-6, 44-7, 58-6
Applications
architecture, 9-4-9-7, 25-5-25-9, 28-10-28-11
compound document, 46-4-46-5
data replicatio...
Table of contents
- Cover
- Copyright Page
- Contributors
- Contents
- Introduction
- Section I Data Development Methodologies, Definitions, and Strategy
- Section II Data Models and Modeling Techniques
- Section III Data Integrity and Quality
- Section IV Data Administration, Security, and Operations
- Section V Data Migration, Conversion, and Legacy Applications
- Section VI Database Servers and Universal Servers
- Section VII Object Technology, Object Modeling, and Object Databases
- Section VIII Distributed Databases, Portability, and Interoperability
- Section IX Data Replication
- Section X Data and the Internet, Intranet, and the World Wide Web
- Section XI Data Warehousing, Decision Support, and Olap
- Section XII Data Mining
- Section XIII Document Management
- Section XIV Industry-Specific and Package Solutions
- Section XV Emerging Practices and Directions
- About the Consulting Editor
- Index