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UML and Data Modeling
Helps you learn how to develop a conceptual, business-oriented entity/relationship model, using a variation on the UML Class Model notation. This book is suitable for data modellers who are convinced that UML has nothing to do with them, and UML experts who don't realise that architectural data modelling really is different from object modelling.
Data Model Patterns
This is the digital version of the printed book (Copyright © 1996). 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. 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: A Metadata Map
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 us...
Enterprise Model Patterns
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. This book builds on the concepts presented there, adds 15 years of practical experience, and presents a more comprehensive view. You will learn how to apply both the abstract and concrete elements of your enterprise's architectural data model through four levels of abstraction: Level 0: An abstract template that underlies the Level 1 model that follows, plus two meta models; 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; Level 2: A more detailed model describing specific functional areas; Level 3: Examples of the details a model can have to address what is truly unique in a particular industry.
Wings of the Mind
None
Requirements Analysis
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 Architectureis 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.
Data Model Patterns
This is the digital version of the printed book (Copyright © 1996). 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. 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.
Public Sector Audit
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.
UML and Data Modeling
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: • Data modelers (both analysts and database designers) who are convinced that UML has nothing to do with them; and • UML experts who don’t realize that architectural data modeling really is different from object modeling (and that the differences are important). 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 archite...
Biofabrication and 3D Tissue Modeling
3D tissue modelling is an emerging field used for the investigation of disease mechanisms and drug development. The two key drivers of this upsurge in research lie in its potential to offer a way to reduce animal testing with respect to biotoxicity analysis, preferably on physiology recapitulated human tissues and, additionally, it provides an alternative approach to regenerative medicine. Integrating physics, chemistry, materials science, and stem cell and biomedical engineering, this book provides a complete foundation to this exciting, and interdisciplinary field. Beginning with the basic principles of 3D tissue modelling, the reader will find expert reviews on key fabrication technologie...
