Principles of data management : facilitating information sharing / Keith Gordon.

Includes bibliographical references (p. 219-222) and index.

contents📜
1.data and the enterprise:
-information is key business resources;
-the relationship between information and data;
-the importance of the quality of data:
-the common problems with data:
-an enterprise-wide view of data;
-managing data is a business issue;
-summary;
2.datbase development;
-the database architecture of an information system;
-the overview of the database development process;
-conceptual data modelling (from a project -level perspective);
-relational data analysis;
-the roles of the data model;
-physical database design;
-summary;
3. what is data management;
-the problems encountered without data management;
-data management responsibilities;
-roles within data management;
-the relationship between data management and enterprise;
-summary;
4.corporate data modelling ;
-why develop a corporate data model;
-more data modelling concepts;
-the nature of a corporate data model;
-how to develop a corporate data model;
-corporate data model principle;
-a final thought;
-summary;
5. data definition and naming convention;
-the element of a data definition;
-data naming convention;
-summary;
6.metadata;
-what is metadata?;
-metadata for dat management;
-metadata for content management;
-metadata for describing data values;
-summary;
7. data quality;
-what is data quality?'
-issues associated with poor -quality data;
-the causes of poor data quality;
-the dimensions of data quality;
-data model quality;
-improving data quality;
-summary;
8. data accessibility;
-data security;
-data integrity;
-data recovery ;
-summary;
9. database administration;
-data administration responsibility;
-performance monitoring and tuning;
-summary;
10. repository administration;
-repositories ,data dictionaries ,encyclopedias;
-repository as a centralized source of information;
-metadata models;
-summary;
11.the management of data management;
-techniques and skills for data administration;
-techniques and skills for database administration;
-techniques and skills for repository administration;
-the positioning of data management within the enterprise;
-summary;
12. industry trends and their effects on data management;
-the use of packages:
-distributed data and database;
-object orientation and database;
-multimedia and database;
-data and web technology;
-summary;




-summary;