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Principles of Data Management: Facilitating Information Sharing [Paperback]

Keith Gordon
4.7 out of 5 stars  See all reviews (3 customer reviews)
RRP: 29.99
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Book Description

15 Nov 2013
Data is a valuable corporate asset and its effective management can be vital to an organisation's success. This professional reference guide covers all the key areas of data management including database development, data quality and corporate data modelling. It is not based on a particular proprietary system; rather it is business-focused, providing the knowledge and techniques required to successfully implement the data management function. The book is aimed at all those involved with data management, including IT/IS and business managers, consultants, and business analysts, as well as data management practitioners from all business sectors. This new edition covers web technology and its relation to databases and includes material on the management of master data. 'A vital book for all IS professionals (from business analysts to web developers) who need to understand the effective management of that critical resource, information.' Tony Jenkins, BSc, MSc, PGCE, CITP, CEng, Past Chair, BCS Data Management Specialist Group -- 'I've used and recommended the first edition of Keith's comprehensive text for several years. I've found that both practitioners and students are able to easily make use of these important concepts. I'm very pleased with the expanded and updated treatments in the second edition.' Peter Aiken PhD, Founding Director, Data Blueprint/VCU -- 'Keith Gordon has done an excellent job of laying out the full set of dimensions to be addressed for the effective management of an organization's information.' David Hay, President, Essential Strategies, Inc.

Frequently Bought Together

Principles of Data Management: Facilitating Information Sharing + Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program (The Morgan Kaufmann Series on Business Intelligence) + Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information
Price For All Three: 97.47

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Product details

  • Paperback: 320 pages
  • Publisher: BCS, The Chartered Institute for IT; 2nd edition edition (15 Nov 2013)
  • Language: English
  • ISBN-10: 1780171846
  • ISBN-13: 978-1780171845
  • Product Dimensions: 24.4 x 17 x 1.5 cm
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 88,710 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Product Description

Review

A vital book for all IS professionals (from business analysts to web developers) who need to understand the effective management of that critical resource, information. -- Tony Jenkins Past Chair, BCS Data Management Specialist Group I've used and recommended the first edition of Keith's comprehensive text for several years. I've found that both practitioners and students are able to easily make use of these important concepts. I'm very pleased with the expanded and updated treatments in the second edition. --Peter Aiken PhD Data Blueprint/VCU

About the Author

Keith Gordon is an independent consultant and trainer specialising in data management issues. He has spent over 50 years in technical, education and training environments as an engineer, computer consultant, business analyst, education and training manager. He was also an associate lecturer with the Open University for 10 years.

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Most Helpful Customer Reviews
4 of 4 people found the following review helpful
5.0 out of 5 stars A proper guidebook 20 Jan 2012
Format:Paperback
In this book, Keith Gordon has done an excellent job of laying out the full set of dimensions to be addressed for the effective management of an organization's information. He begins with the assertion that information must be recognized as a key corporate resource, along with money, people, buildings, and so forth. He then describes both the technological and business dimensions of that management.

This book is a layman's guide to the components of information management. It does begin with a survey defining a bit of history to explain exactly what a database is, and what technologies are behind it. Quickly, though, Mr. Gordon moves into the area of data modeling, which is a way of representing the structure of an enterprise's data so that it can be discussed with business people. This is ultimately the language that should be used to communicate between the business users of information and the technologists who will provide it.

In a world where the data modeling field tends to be dominated by overly complex notations that are fundamentally inaccessible to the public, Mr Gordon makes effective use of the notation created by Harry Ellis and Richard Barker to present clearly the things of significance to an organization. This notation is without the ornamentation in many notations that is frequently more confusing than illuminating. Again, in Mr. Gordon's view, the objective of modeling is to engage the business in the management of the company's information-which requires them to understand its basic components. This requires attention to the aesthetics and clarity of presentation.

In other words, the important thing about this book is that Mr. Gordon uses data models (and in particular corporate data models) to present the principles of data management.
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4 of 4 people found the following review helpful
4.0 out of 5 stars Nice over view of Data Management 5 Nov 2011
By DanRiaz
Format:Kindle Edition
As a Data Management professional I found this book to be great reading and authored in a style which was pleasantly easy for any one who's not data savvy to be able to understand as well.

If you're just starting out in Data Management or even if you're a seasoned practitioner, you will find this book a good source for understanding or confirming data strategy and data management for your organisation.

Highly recommended.
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1 of 1 people found the following review helpful
5.0 out of 5 stars Good overview of Data Management 18 Feb 2014
Format:Kindle Edition|Verified Purchase
This book provides an excellent overview of the Data Management subject area and explains topics in a clear and concise manner. It provides enough detail not to confuse beginners and enables you to identify areas for further reading.

I would recommend reading it to get an experts view on how to categorise the domains and roles of Data Management.
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Amazon.com: 5.0 out of 5 stars  1 review
5 of 5 people found the following review helpful
5.0 out of 5 stars A proper guidebook 20 Jan 2012
By David C. Hay - Published on Amazon.com
Format:Paperback
In this book, Keith Gordon has done an excellent job of laying out the full set of dimensions to be addressed for the effective management of an organization's information. He begins with the assertion that information must be recognized as a key corporate resource, along with money, people, buildings, and so forth. He then describes both the technological and business dimensions of that management.

This book is a layman's guide to the components of information management. It does begin with a survey defining a bit of history to explain exactly what a database is, and what technologies are behind it. Quickly, though, Mr. Gordon moves into the area of data modeling, which is a way of representing the structure of an enterprise's data so that it can be discussed with business people. This is ultimately the language that should be used to communicate between the business users of information and the technologists who will provide it.

In a world where the data modeling field tends to be dominated by overly complex notations that are fundamentally inaccessible to the public, Mr Gordon makes effective use of the notation created by Harry Ellis and Richard Barker to present clearly the things of significance to an organization. This notation is without the ornamentation in many notations that is frequently more confusing than illuminating. Again, in Mr. Gordon's view, the objective of modeling is to engage the business in the management of the company's information-which requires them to understand its basic components. This requires attention to the aesthetics and clarity of presentation.

In other words, the important thing about this book is that Mr. Gordon uses data models (and in particular corporate data models) to present the principles of data management. This including roles, responsibilities, and benefits of data management. He includes a section on data quality-what it is, issues and causes of poor data quality, the dimensions of poor data quality, and, most significantly, how to improve it. He also discusses data accessibility--security (allowing the right people and only the right people access), integrity (making sure the right people cannot damage the data), and recovery from loss of data.

I strongly recommend this book to someone wanting to understand the connection between the management of information and the kinds of technology that must be employed to do so.
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