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Synopsis
Wouldn't it be great to understand all the data in your organisation? Just imagine being able to define, agree and manage information concepts that impact on business strategy? Then image that these information concepts can be linked to the physical database attributes that ultimately are used to create them. That's what this book is about. It focuses on the data model as the foundation for achieving this understanding. This book provides a framework for the enterprise data model, the business reasons behind it and the differences between conceptual, logical and physical data models. The question of how, and why, to use a data model artifact as part of the data governance toolkit for the whole enterprise is also addressed. This publication is not an in-depth manual on how to model data for a new database system or your next design project. It instead focuses at a level above these implementation projects and addresses the issues that organisations typical struggle with, such as: - How do we provide a framework within which we can manage our data assets? - How do we develop applications that adhere to a set of data standards; without creating a nightmare of administration and governance that is both unwieldy and unusable? - How can we get business value from our enterprise data? Chapter headings are: - Chapter 1: Introduction - Chapter 2: Information and Data - Chapter 3: Pillars of Value - Chapter 4: An Overview of Data Modelling - Chapter 5: Data Architecture - Chapter 6: The Enterprise Data Model - Chapter 7: Build the Model one Project at a Time - Chapter 8: Master Data - Chapter 9: Data Governance - Chapter 10: The Enterprise Data Framework
"synopsis" may belong to another edition of this title.
About the Author
Andy Graham is an independent consultant specialising in data and information architecture. As such he is primarily a hand's on person actively working with customers to develop their information and data management capabilities. Andy was formerly Regional Manager of Sybase's Northern European Business Intelligence organisation. While at Sybase, he played a key role in building the BI organisation across EMEA and was instrumental in the delivery of successful enterprise information solutions to industry sectors such as financial services, telecoms, utilities, government and leisure. Prior to this, Andy worked for Hummingbird (formally Andyne) as the UK Consultancy Manager where he was responsible for the development of a full spectrum professional services organisation to complement the companies' software offerings. Andy also worked for Business Objects were he was one of the founding members of the UK organisation and as such was responsible for the success of many customer implementations and information strategies.
Excerpt. © Reprinted by permission. All rights reserved.
This book provides a framework for the enterprise data model, the business reasons behind it and the differences between conceptual, logical and physical data models. The question of how, and why, to use a data model artefact as part of the data governance toolkit for the whole enterprise is also addressed.
This publication is not an in-depth manual on how to model data for a new database system or your next design project. If that's the type of book you're looking for then please look elsewhere. It instead focuses at a level above these implementation projects and addresses the issues that organisations typical struggling with such as:
* How do we provide a framework within which we can manage our data assets?
* How do we develop applications that adhere to a set of data standards; without creating a nightmare of administration and governance that is both unwieldy and unusable?
* How can we get business value from our enterprise data?
Although the concept of the data model has been around for decades it is still not widely used beyond a purely physical representation of a database. There are many people out there that still believe the role of the data architecture is just to create the database design for the next IT system.
It is the intention of the author to explain how the data model concept can be expanded into an enterprise framework for data. This framework can then be used as a key strategic weapon in managing successfully the enterprises vast quantities of data. Along the way I also hope that the reader will gain valuable insight into some of the role of the humble Data Architecture.
Water, water, everywhere, nor any drop to drink
The line `water, water everywhere, nor any drop to drink' comes from the Rime of the Ancient Mariner, by the English poet Samuel Taylor Coleridge. The original poem was written by Coleridge in 1797-98 and first published in the Lyrical Ballads. The poem has had influenced on literature, films and music. For example `Rime of The Ancient Mariner' is a famous heavy metal epic from the band Iron Maiden's `Powerslave' album (released in the 1980's), a favour of the authors when a little younger.
The poem relates the events experienced by the mariner who has recently returned from a sea voyage. The tale depicts his nightmare journey to Antarctica after being thrown off course by bad weather. The ship and crew are then saved by an albatross that leads them out of the Antarctic.
The problems all start when the Mariner kills the albatross bringing bad luck down on the ship which is subsequently becalmed. The crew endures great hardship with all but the Mariner eventually dying.
Day after day, day after day,
We stuck, nor breath nor motion;
As idle as a painted ship
Upon a painted ocean.
Water, water, everywhere,
And all the boards did shrink;
Water, water, everywhere,
Nor any drop to drink.
The Ancient Mariner is stuck in the middle of the sea and because he is on the open ocean, the water is all salt and unfit for consumption - thus his lament.
In 2008 the then UN Secretary General, Ban Ki Moon remarked that water scarcity has the potential to fuel wars and conflict. This was based on some scary facts about water availability and consumption. Water constitutes about three quarters of the earth's surface, but only less than one percent of it can be used by its inhabitants; 97% is salt water and a further 2% is contained in glaciers.
Data, Data everywhere, nor any information to use
This is not unlike the situation we find in today's data rich but information poor organisations. Companies are storing volumes of data so vast that we have invented new words to describe them; Kilo, Mega, Giga, Tera, Peta, Exa, Zetta and Yotta. Only recently the data traffic on mobile phone networks exceeded voice call globally.
"Data traffic has exceeded the volume of voice calls across the world's wireless networks for the first time .....global data traffic nearly tripled in each of the past two years and forecast that it would double annually over the next five years..."
Extracts from the Financial Times on the 25th March 2010
Large data volumes bring with them usability, design and technology challenges. Although we have huge volumes of data only a small percentage is fully understood, of good quality and accessible. The humble data model is smack bang in the centre of this problem as it provides one of the key weapons in an organisation data arsenal; that has the power to unlock the value that can be gained from these warehouses full of data.
The purpose of the data model
Probably the best place to start is with a clarification of the purpose of the data model. In a sentence we can define the data model as an artefact that allows us to explore data-oriented structures. It therefore follows that data modelling can be described as the act (or possible the art) of exploring data-oriented structures.
Like other modelling artefacts data models can be used for a variety of purposes, from high-level conceptual data models to physical data designs. In essence it allows us to interpret in diagrammatical form the business meaning of our data in a way that can be consumed by both business people and IT folk. Figure 1 below shows this crossover between the business and the technology worlds.
"About this title" may belong to another edition of this title.
- PublisherKoios Associates Ltd
- Publication date2010
- ISBN 10 0956582907
- ISBN 13 9780956582904
- BindingPaperback
- LanguageEnglish
- Number of pages140
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