Principles of Data Management - Facilitating Information Sharing

by Keith Gordon

This professional reference guide explains not only the importance of data management and how it can be managed, but the issues facing those involved, and how to address them. Distinctively, this book is not based on a particular propriety system or software, but is business focused, providing the knowledge and techniques required to successfully implement a data management function. 'Principles of Data Facilitating Information Sharing' covers practical and effective approaches to managing corporate data which will improve communication between users and information systems developers, and support an integrated and cost effective approach to data and information resource development. This book explains how to plan and implement a data management function and critically, how to understand and improve the relationships between data and database administrators, systems development teams and business users. Ultimately users become able to obtain the information they need, confident that it is based on correct underlying data. 'Principles of Data Facilitating Information Sharing' also discusses the technical issues that affect data management professionals.

268 pages, Paperback

First published April 30, 2007

Reviews

[Zaher Alhaj · Rating 2 out of 5]

Very generic and academic. It does not catch up with the latest developments in the field as if it was written for Data Management professionals living in early 1990s.

[BCS · Rating 4 out of 5]

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.

Reviewed by Mehmet Hurer MBCS CITP CEng

[Stuart Neil · Rating 4 out of 5]

Exam study & this follows the syllabus. Could include more of the data modelling outside of third normal form e.g. fact-dimension-bus and graph dB. I did like the general sweep of the book and the tie in to business.

[UMUHOZA M]

i want to rad the book principles of Data Management by kith Gordon because found in it some rich ideas that will help me to know more about th data management.
thank you!