Principles of Data Management

Keith Gordon

Published by

BCS

ISBN

9781780171845

RRP

£29.99

Reviewed by

Mehmet Hurer MBCS CITP CEng

Score

8 out of 10

Principles Of Data Management: Facilitating Information Sharing (Second Edition)This book highlights the importance of data and how it is vital to the survival of an organisation. It emphasises that effective data management should not be considered an afterthought but a key integral part of any project and business operation, with the goal being to provide users with fit-for-purpose and accurate data in a timely fashion.

The book is divided into four sections. In the first section the author reiterates the importance of information as a key business resource and the common problems with data. There is a chapter dedicated to database design and development, which is presented in a clear and logical manner, building on a simple example to illustrate relational database design.

The author discusses data administration in the second part of the book, including corporate data modelling, data definition, data naming, metadata, data quality, data accessibility and master data management. This part is illustrated with good examples of structured data and how it is interrogated using structured query language.

In the third part of the book the author provides an overview of the tasks and areas that are the responsibility of the database administrator and repository administrator, such as monitoring and tuning the performance of the database, and managing the metadata.

The fourth part of the book completes the subject, with an overview of some of the other key areas relevant to data administration. This includes discussion on the use ‘off the shelf’ packages for data management, distributed data, business intelligence, object orientation, handling multimedia and looks at data and web technology.

The appendix, occupying almost a quarter of the book, should not be ignored as it covers a wealth of supporting information, including the different types of databases and data modelling notations, xml and its relationship with relational databases and some examples to further illustrates topics discussed in the other sections of the book.

This book provides a great introduction for anyone involved in data management, or requiring an appreciation of what it is and why it is so important.

Further information: BCS

May 2014