Gain Insight Into Business Structure Using and Re-Using
These Data Model Patterns
About
the Book
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
This
Title Is Now Also Available As an eBook Through Pearson Education at www.informit.com.
To Order,
"Would you rather not reinvent the wheel? Do you
have better things to do with your time? If so, you may be interested in David
Hay's book Data Model Patterns. . . . Hay does an excellent job of extracting
the essence of each 'thing' in order to deal with it as more of an abstraction.
This results in much simpler and more powerful data models that are less dependent
on cosmetic variation. . . . Once you begin to see these new patterns, you will
have a new way of viewing the world of data."
—Patrick
O'Brien St. Louis DAMA Newsletter
"occasionally a book comes along that can be considered a classic; that
isn't tied to any particular product or version. David Hay's book, Data Model
Patterns: Conventions of Thought, is such a book. . . . This is a book that
can and should be used for years. No matter what your job function in the RDBMS
industry, you'll find great value from this book. It should be mandatory reading
before starting any major data modeling or application development task. No other
author has gone beyond the theoretical methodology of creating a data model to
actually present and analyze real-world models that we can use every day. This
book is well written and well illustrated with numerous examples of the models
discussed. This is a 'must buy' for your professional library."
—Warren
Capps Oracle Developer
". . . one of the practical values of your book is the set of 'ready to use'
models for the most typical applications in many industries. . . . You express
your ideas in very simple and easy to understand language. This is how I think
such books should be written."
—Mark Gokman
New York Power Authority
"Hay covers a wide range
of topics. Patterns includes four chapters on the basic subject areas of people
and organizations, products amd inventory, procedures and activities, and accounting.
. . . Patterns also includes detailed footnotes and references, a useful bibliography,
and a very detailed index . . . The informal writing style of Patterns includes
frequent humor . . . For a technical book, it was fun to read."
—Data
to Knowledge
"This is one of the best practical
books on database design I've encountered. . . . includes scads of examples ranging
from accounting to inventory to contracts. A well-illustrated, readable 268 pages."
—Karen
Watterson Microsoft SQL Server Professional
"I found the book articulate and well-ordered, which for a subject
as abstruse as data modelling is quite some achievement."
—Howard
Benbrook Oracle Corporation
"If
analysts use the well-proven modelling approach described in this book, and implement
the results on relational or object database management systems, they should be
able to develop highly business-oriented systems quickly."
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