Achieving Buzzword Compliance: Data Architecture Language and Vocabulary - Softcover

Hay, David C

Softcover

ISBN 10: 1634623703 ISBN 13: 9781634623704

Publisher: Technics Publications, 2018

Synopsis

Understand the language and vocabulary of Data Architecture.

The Data Architecture field is rife with terms that have become "fashionable". Some of the terms began with very specific, specialized, meanings - but as their use spread, they lost the precision of their technical definitions and become, well, "buzzwords".

A buzzword is "a word or expression from a particular subject area that has become fashionable because it has been used a lot". Compliance is "the obeying of an accepted principle or instruction that states the way things are or should be done." The assignment is to take buzzwords and follow rules to use them correctly. We cut through the hype to arrive at buzzword compliance - the state where you fully understand the words that in fact have real meaning in the data architecture industry. This book will rationalize the various ways all these terms are defined.

Of necessity, the book must address all aspects of describing an enterprise and its data management technologies. This includes a wide range of subjects, from entity/relationship modeling, through the semantic web, to database issues like relational and "beyond relational" ("NoSQL") approaches. In each case, the definitions for the subject are meant to be detailed enough to make it possible to understand basic principles - while recognizing that a full understanding will require consulting the sources where they are more completely described.

The book's Glossary contains a catalogue of definitions and its Bibliography contains a comprehensive set of references.

About this title

About the Author

Since the early 1980s, David Hay has been a pioneer in the use of process and data models to support strategic planning, requirements analysis and system design. He has developed enterprise models for many industries, including, among others, pharmaceutical research, oil refining and production, film and television, and nuclear energy. In each case, he found the relatively simple structures hidden in formidably complex situations. In addition to being a frequent speaker at international conferences, Mr. Hay has published several books and numerous articles.

Review

David Hay's new book, "Achieving Buzzword Compliance: Data Architecture Language and Vocabulary" takes a tour of the modern data environment. Once upon a time, implementation meant SQL. However, there is no doubt that things have changed over recent years with the introduction of RDF, RDFS, OWL, and more. However, this book shows how these new technologies still benefit from the good practices of the past in data analysis and the traditional conceptual data model as a core development component, with some new options for implementation. Further, good practice in developing such conceptual data models, is still much the same. This book will be a useful read for both those who have been brought up with the new technologies, but are wondering why their data models or ontologies are so fragile, and for old school data modelers who were wondering how to apply their skills in the age of the semantic web. --Mathhew West

In this book, Hay provides a much needed 'balcony view' on the world of data modeling and data models, with all of its opinions, ideas, debates and opportunities. For those who have never read Hay s 1996 publication 'Data Model Patterns: Conventions of Thought' or one of his later books, David s level of accuracy and thoroughness when it comes to discussing the practice of data modeling may come as a surprise. For his followers, it is reassuring to find him back at his best, offering his many years of experience and insight. With the advancement of the digital era, I expect many organizations will soon learn the true value of a solid enterprise information foundation. Cognitive advancements such as machine learning, predictive modeling and customer behavior analytics all require a basis of structured information that is complete and knowingly correct. Understanding the underlying enterprise information model will be essential for successful digital initiatives. David Hay s book will help aspiring organizations find the balance between 'sufficiently detailed' and 'adequately conceptualized' when they seek to draw their data landscape. --Bert Hooyman, Chief Architect, Mphasis Ltd.

Edition details

• Publisher: Technics Publications
• Publication date: 2018
• ISBN 10: 1634623703
• ISBN 13: 9781634623704
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 231