Data management : databases and organizations / Richard T. Watson.

Content
The managerial perspective
1 Managing data
Individual data management
Organization data management
Components of organizational memory
Problems with data management systems
A brief history of data management systems
Etc.

2 Information
A historical perspective
A brief history of information systems
Information characteristics
Information and organizational change
Change information

Data modeling and SQL
3 The single entity
The relational model
Getting started
Modeling a single-entity database
Creating a single table database

4 The one-to many relationship
Relationships
Creating a database with a I: relationship
Querying a two- table database
5 The many -to many relationship
The many-to many relation.
Creating a relational database with an m:m relationship
Querying an m:m relationship

6. One-to one and recursive relationships
Modeling the one-to one relationship
Mapping a one-to one relationship
Mapping a recursive relationship
Querying a recursive a one -to one relationship
Querying a recursive relationship

7 Data modeling
Modeling
Data modeling
The building blocks
Data mode quality
Quality improvement
Etc.

8 Normalization and other data modeling methods
Normalization
Other data modeling methods

9 The relational model and relational algebra
Data structures
Integrity rules
Manipulation languages
A primitive set of relational operations
A fully relational database

10 SQL Data definition
Data manipulation
SQL routines
Trigger
Nulls-much ado missing information
Security

Database architectures and implementations
11 Data structure and storage
Data coding standards
Data storage devices
Data compression
Comparative analysis

12 Data processing architecture
Client/server fundamentals
Client/server the second generation
Distributed data base
Distributed data access
Distributed database design

13 Object-oriented data management
UML
Historical development
Key OO concepts
Why OO?
Objects and information system modeling
The OO and relational paradigms
Etc.

14 Spatial and temporal data management
Introduction
Managing spatial data
Managing temporal data

Organizational memory technologies
15 Organizational intelligence Technologies
The data warehouse
Exploiting data stores
OLAP
Data mining

16 The web and data management
Information presentation
Web site management
Web browser to DBMS server connectivity

17 XML: Managing data exchange
EDI
SGML
XML

Managing organizational memory
18 Data integrity
Transaction management
Protecting existence
Maintaining data quality
Ensuring confidentiality

19 Data administration
Management of database environment
Database administration
Database management systems (DBMSs)
Group ware
Data integration
Etc.

Includes bibliographical references and index: P 597-603