Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers.
<ul>
<li>A comprehensive work based on the Zachman Framework for information architecture―encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation)</li>
<li>Provides a step-by-step description of model and is organized so that different readers can benefit from different parts</li>
<li>Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.)</li>
<li>Presents many concepts that are not currently being addressed by such tools ― and should be</li>
</ul>

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)

Business & Money

Hay, David C.

Management & Leadership

Morgan Kaufmann

Thousands of software projects are doomed because they're based on a faulty understanding of the business problem that needs to be solved. Requirements Analysis: From Business Views to Architecture is the solution. David C. Hay brings together the world's best requirements analysis practices from two key viewpoints: system development life cycle and architectural framework. Hay teaches you the complete process of defining an architecture - from a full understanding of what business people need to the creation of a complete enterprise architecture.

Requirements Analysis: From Business Views to Architecture

Computers & Technology

Programming

PRENTICE/HALL

Public Sector Audit (Routledge Focus on Accounting and Auditing)

This book provides a concise overview of the current context and types of public sector audit and the varied structures within which public sector audit is practised across the world. 
It summarises the objectives of public sector audit as well as explores the role of the International Organisation of Supreme Audit Institutions in providing guidance to these. Drawing on public and private sector audit as well as the views of academics and practitioners on public sector audit, it provides a unique research-based guide to the current issues and future challenges in the field.

Cordery, Carolyn J.

Business Culture

Routledge

Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization is to gain insights into its nature that do not come easily. Indeed, analysts are often expected to understand subtleties of an organization's structure that may have evaded people who have worked there for years. Here's help for those analysts who have learned the basics of data modeling (or "entity/relationship modeling") but who need to obtain the insights required to prepare a good model of a real business. Structures common to many types of business are analyzed in areas such as accounting, material requirements planning, process manufacturing, contracts, laboratories, and documents. Topics In each chapter, high-level data models are drawn from the following business areas: * The Enterprise and Its World * The Things of the Enterprise * Procedures and Activities * Contracts * Accounting * The Laboratory * Material Requirements Planning * Process Manufacturing * Documents * Lower-Level Conventions

Data Model Patterns: Conventions of Thought

Dorset House

Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization is to gain insights into its nature that do not come easily. Indeed, analysts are often expected to understand subtleties of an organization's structure that may have evaded people who have worked there for years. Here's help for those analysts who have learned the basics of data modeling (or "entity/relationship modeling") but who need to obtain the insights required to prepare a good model of a real business. Structures common to many types of business are analyzed in areas such as accounting, material requirements planning, process manufacturing, contracts, laboratories, and documents. Topics In each chapter, high-level data models are drawn from the following business areas: -The Enterprise and Its World -The Things of the Enterprise -Procedures and Activities -Contracts -Accounting -The Laboratory -Material Requirements Planning -Process Manufacturing -Documents -Lower-Level Conventions

The regenerative capacity of the liver has been recognized for centuries, but when it is overwhelmed by insulting stimuli or is chronically damaged, its regenerative capability is substantially reduced or lost. Researchers have been working to find solutions to cure failing human liver function. Given the ability of stem cells to self- renew and differentiate into specialized cell liver types, they represent an attractive strategy to replace lost liver function. This book begins by outlining the complex nature of human liver disease and proceeds to examine the potential that stem cell-based approaches have to offer.

Regenerative Medicine, Stem Cells and the Liver

Science & Math

Biological Sciences

CRC-Press

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.

Achieving Buzzword Compliance: Data Architecture Language and Vocabulary

Software

Technics Publications

This book teaches you how to capture and communicate both the abstract and concrete building blocks of your organization’s data, in order to provide a coherent and comprehensive foundation for systems development. 
“This book presents the most comprehensive treatment of high-level abstractions I've seen. Any event, business, and/or systems analyst should have this book available, both as a learning text and as an indispensible reference book. The knowledge packed away in this book takes decades to acquire and gestate. We are all fortunate to have it in a single volume.” James Odell Co-chair, OMG - Analysis and Design "UML and SoaML" Task Force
"David addresses a key, difficult, challenge for data modelling (and ontology) in this book - extracting the common pattern that underlies and unifies the variety of real data models that people use. And, what is almost as important to many readers, he does this in a clear and understandable way." Chris Partridge Chief Ontologist, The BORO Centre
"A great data model, one that lays the essence of a business bare, is a thing of beauty. It simplifies process, eases communication, and brings order to chaos. A great data model serves for a lifetime. Powerful stuff, this." Tom Redman, President Navesink Consulting Group, LLC
"Finally, choosing a level of abstraction for a data model is addressed methodically. David should be applauded for grasping this thorny issue and producing a wonderfully readable book. Every data modeler should have one". Cliff Longman, President Adaptable Data
In 1995, David Hay published Data Model Patterns: Conventions of Thought - the groundbreaking book on how to use standard data models to describe the standard business situations. Enterprise Model Patterns: Describing the World builds on the concepts presented there, adds 15 years of practical experience, and presents a more comprehensive view.
This model addresses your enterprise via four levels of abstraction:
Level 0: An abstract template that underlies the Level 1 model, plus two meta models: Information Resources and Accounting. Each of these itself represents the rest of the enterprise, so to model it is to “model a model”, so to speak.
Level 1: An enterprise model that is generic enough to apply to any company or government agency, but concrete enough to be readily understood by all. It describes people and organizations, geographic locations, (physical) assets, activities, and time. 
Level 2: A more detailed model describing specific functional areas: facilities and other addresses, human resources, communications and marketing, contracts, manufacturing, and the laboratory.
Level 3: Examples of the details that can be added to a model to address what is truly unique in a particular industry. Here you see how to address the unique bits in areas as diverse as criminal justice, microbiology, banking, oil field production, and highway maintenance.

Enterprise Model Patterns: Describing the World (UML Version)

Technics Publications, LLC

Here you will learn how to develop an attractive, easily readable, conceptual, business-oriented entity/relationship model, using a variation on the UML Class Model notation. This book has two audiences: 
<ul>
<li>Data modelers (both analysts and database designers) who are convinced that UML has nothing to do with them; and </li> <li>UML experts who don't realize that architectural data modeling really is different from object modeling (and that the differences are important).</li> </ul>
 David Hay's objective is to finally bring these two groups together in peace. 
 Here all modelers will receive guidance on how to produce a high quality (that is, readable) entity/relationship model to describe the data architecture of an organization. The notation involved happens to be the one for class models in the Unified Modeling Language, even though UML was originally developed to support object-oriented design. Designers have a different view of the world from those who develop business-oriented conceptual data models, which means that to use UML for architectural modeling requires some adjustments. These adjustments are described in this book. 
 David Hay is the author of Enterprise Model Patterns: Describing the World, a comprehensive model of a generic enterprise. The diagrams were at various levels of abstraction, and they were all rendered in the slightly modified version of UML Class Diagrams presented here. This book is a handbook to describe how to build models such as these. By way of background, an appendix provides a history of the two groups, revealing the sources of their different attitudes towards the system development process. 
 If you are an old-school ER modeler and now find yourself having to come up to speed on UML to get that next job (or keep the current one), this is your guidebook to success. If you are a long time object oriented programmer who has to interact with data modelers, this book is for you too. David has done the hard work of mapping out how to do a logical entity relationship model using standard (and accepted) UML diagram components. This book shows you step-by-step, with ample examples, how to get from here to there with the least pain possible for all concerned. Kent Graziano Certified Data Vault Master and Oracle ACE Past-President of ODTUG &amp; RMOUG 
 Brilliantly organized: three books hidden in one cohesive work. Not withstanding the tremendous value provided by cross-training data architects/modelers and object modelers/architects, making each better at what they do, Appendix B presents an absolutely awesome concise, yet detailed, history of modeling objects and data that clearly documents the differences in the approaches over the years and helps bring it all into perspective. This book is packed with useful information. Even the footnotes add clarity and offer interesting and often humorous editorial insight making it a fun read. Whatever viewpoint the reader is coming from this book has something to offer as long as the reader maintains an open mind. Roland Berg Senior Architect Diligent Consulting, Inc. San Antonio, Texas

UML and Data Modeling: A Reconciliation

See the best price to sell, buy, or rent books by Hay, David C.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Hay, David C.

See the best price to sell, buy, or rent books by Hay, David C.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)

Requirements Analysis: From Business Views to Architecture

Public Sector Audit (Routledge Focus on Accounting and Auditing)

Public Sector Audit (Routledge Focus on Accounting and Auditing)

Data Model Patterns: Conventions of Thought

Data Model Patterns: Conventions of Thought

Regenerative Medicine, Stem Cells and the Liver

Achieving Buzzword Compliance: Data Architecture Language and Vocabulary

Enterprise Model Patterns: Describing the World (UML Version)

UML and Data Modeling: A Reconciliation