Skip to Content
For Enterprise
For Government
For Higher Ed
For Individuals
For Marketing
For Enterprise
For Government
For Higher Ed
For Individuals
For Marketing
Explore Skills
Cloud Computing
Microsoft Azure
Amazon Web Services (AWS)
Google Cloud
Cloud Migration
Cloud Deployment
Cloud Platforms
Data Engineering
Data Warehouse
SQL
Apache Spark
Microsoft SQL Server
MySQL
Kafka
Data Lake
Streaming & Messaging
NoSQL Databases
Relational Databases
Data Science
Pandas
R
MATLAB
SAS
D3
Power BI
Tableau
Statistics
Exploratory Data Analysis
Data Visualization
AI & ML
Generative AI
Machine Learning
Artificial Intelligence (AI)
Deep Learning
Reinforcement Learning
Natural Language Processing
TensorFlow
Scikit-Learn
Hyperparameter Tuning
MLOps
Programming Languages
Java
JavaScript
Spring
Python
Go
C#
C++
C
Swift
Rust
Functional Programming
Software Architecture
Object-Oriented
Distributed Systems
Domain-Driven Design
Architectural Patterns
IT/Ops
Kubernetes
Docker
GitHub
Terraform
Continuous Delivery
Continuous Integration
Database Administration
Computer Networking
Operating Systems
IT Certifications
Security
Network Security
Application Security
Incident Response
Zero Trust Model
Disaster Recovery
Penetration Testing / Ethical Hacking
Governance
Malware
Security Architecture
Security Engineering
Security Certifications
Design
Web Design
Graphic Design
Interaction Design
Film & Video
User Experience (UX)
Design Process
Design Tools
Business
Agile
Project Management
Product Management
Marketing
Human Resources
Finance
Team Management
Business Strategy
Digital Transformation
Organizational Leadership
Soft Skills
Professional Communication
Emotional Intelligence
Presentation Skills
Innovation
Critical Thinking
Public Speaking
Collaboration
Personal Productivity
Confidence / Motivation
Features
All features
Verifiable skills
AI Academy
Courses
Certifications
Interactive learning
Live events
Superstreams
Answers
Insights reporting
Radar Blog
Buy Courses
Plans
Sign In
Try Now
O'Reilly Platform
book
The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling
by
Paul Agnew
,
Len Silverston
January 2009
Beginner to intermediate
641 pages
26h 48m
English
Wiley
Content preview from
The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling
Silverston
c06.tex
V2
-
11/21/2008
3:09am
Page
299
Table
6-9
(
Continued
)
PATTERN
DESCRIPTION
WHEN
TO
USE
WHEN
NOT
TO
USE
PROS
CONS
Status
Category
Pattern
This
pattern
classifies
the
STATUS
TYPE(s)
in
a
very
flexible
manner
by
applying
the
Level
3
Classification
Pattern
from
Chapter
5
to
the
STATUS
TYPE
entity
in
this
chapter.
This
pattern
can
be
used
to
enhance
the
Level
2,
3,
and
4
Patterns
in
this
chapter
and
will
provide
comprehensive
management
of
the
different
status
categories.
When
an
enterprise
needs
to
capture
the
classification
of
the
different
status
types
in
a
very
flexible
fashion.
This
will
help
in
the
management
of
the
status
categories.
When
one
needs
to
enhance
the
level
2,
3,
and
4
status
patterns
with
status
type
classifications.
Formasterdata
management
efforts
where
categorization
of
statuses
is
important.
When
an
enterprise
has
a
very
limited
view
and
tactical
view
of
status
category
data.
This
pattern
would
be
overkill
for
those
enterprises.
This
pattern
is
very
flexible
and
allows
any
number
of
status
type
categorizations.
It
helps
support
the
reporting
and
management
of
status
types
and
status
categories.
It
provides
a
very
comprehensive
way
to
manage
statuses
as
an
enterprise-wide
level.
May
be
too
complex
for
some
enterprises
that
are
either
not
as
sophisticated
in
data
modeling
or
that
simply
do
not
have
the
need
to
be
this
comprehensive
about
categorizing
status
types.
The
different
status
types
and
status
type
categories
must
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial
You might also like
The Data Model Resource Book, Vol. 2: A Library of Data Models for Specific Industries
Len Silverston
The Data Model Resource Book, Volume 1
Len Silverston, Graeme Simsion
Data Model Patterns
David C. Hay, Richard Barker
Semantic Modeling for Data
Panos Alexopoulos
Publisher Resources
ISBN: 9780470178454
Other