Data Modeling for Information Professionals

Data Modeling for Information Professionals

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Product Details

ISBN-13: 9780130804501
Publisher: Prentice Hall Professional Technical Reference
Publication date: 07/29/1998
Pages: 279
Product dimensions: 7.30(w) x 9.59(h) x 1.29(d)

Table of Contents

Editor's Preface xv(2)
Preface xvii(4)
Acknowledgments xxi(2)
About the Author and Editor xxiii(2)
Introduction xxv
Should You Study This? xxv(5)
Does a Thing Called Data Modeling Exist? xxx(2)
About This Text xxxii(3)
Data Modeling Overview xxxv
Part One Basic Parts 2(60)
Concept 1 Domains
5(16)
Why Should I Study Domains?
5(3)
Of What Are Domains Composed?
8(2)
Domains Measure
10(1)
Naked Domain
11(2)
Non-numeric Domains
13(2)
Sets of Domains
15(3)
So Where Are We?
18(1)
Here's What You Should Have Learned
19(2)
Concept 2 Names
21(10)
Why Should I Care a Whit About a Nit Like Names?
21(3)
What Is a Name?
24(1)
Names and Domains
24(2)
When Names Won't Do
26(2)
Postscript
28(1)
Here's What You Should Have Learned
28(3)
Concept 3 Predicates
31(31)
Why Should I Bother to Read About Predicates?
31(3)
Predicates Describe Something
34(1)
Predicates Are What Can Be Known
35(1)
Predicates Have Meaning
36(3)
What Is a Predicate?
39(3)
How to Know What to Know
42(2)
What Is It About?
44(3)
Predicates Can Describe Other Predicates
47(9)
What Answers Do You Expect?
56(1)
Modifiable Predicates
57(1)
Where Will You Get Your Answers?
58(2)
Here's What You Should Have Learned
60(2)
Part Two Sets of Predicates 62(54)
Concept 4 Entities
65(26)
Why Should I Study Entities?
67(2)
What Is an Entity?
69(2)
Entities Are Describable
71(1)
Entities Are Elemental
72(2)
Entities Are Identifiable
74(2)
Some Entities Are Not Unique
76(1)
Some Entities Don't Start Out Unique
76(2)
An Entity Is Something About Which We Keep Data
78(1)
An Entity Is a Set of Predicates
79(5)
Finding a Level of Relevance
84(1)
Entities That Group
85(5)
Here's What You Should Have Learned
90(1)
Concept 5 States
91(25)
Why Should I Care About States?
91(3)
State Analysis Can Lead to Business Process Improvement
94(3)
What Is a State?
97(4)
States Integrate Perspectives
101(3)
How States Relate to Each Other
104(1)
Multiple Statehood
105(3)
The Relation of States to Hidden Modifiers
108(1)
Relevance of the Data From State to State
109(3)
"Becomes a" vs. "Is a Part of"
112(2)
Here's What You Should Have Learned
114(2)
Part Three Sets of Entities 116(34)
Concept 6 Classes
119(12)
Why Should I Study Classes?
119(3)
What Is a Class?
122(1)
Groups of Similar Things
123(3)
An Entity Is What It Is
126(1)
Do Classes Have Predicates?
127(1)
A Place for Everything
128(1)
What Really Happens on a Project
129(1)
Here's What You Should Have Learned
130(1)
Concept 7 Superclasses
131(19)
Why Do I Need to Bother With Superclasses?
131(2)
What Is a Superclass?
133(6)
Generalizing
139(1)
Specializing
139(2)
Entities of Many Classes
141(2)
Superclasses Serve Some Purpose
143(1)
Do Not Simply Put All Instances Into the Same Class
144(1)
Do Not Create Superclasses Just to Hold Common Predicates
145(3)
Too Many Classes?
148(1)
Here's What You Should Have Learned
149(1)
Part Four Back to Predicates 150(68)
Concept 8 Relationships
155(42)
What Is a Relationship?
156(6)
Optionality or Minimum Cardinality
162(5)
Degree
167(6)
Ten Possible Relationships
173(3)
1 to M Relationships
176(6)
M to M Relationships
182(9)
1 to 1 Relationships
191(4)
Here's What You Should Have Learned
195(2)
Concept 9 Attributes
197(21)
What Is an Attribute?
198(2)
Attributes and Entities
200(1)
Attributes and Domains
201(1)
Description Is Not an Attribute
202(2)
Consistent Precision
204(1)
Multiple Choices
205(2)
Three Types of Attributes
207(4)
More on Elemental Attributes
211(6)
Here's What You Should Have Learned
217(1)
Part Five Conclusion 218(29)
You Could Do Everything Right... but Still Make a Mess
221(22)
Don't Pick a Fight With Your Friends
221(4)
Too Much of a Good Thing
225(4)
Knowing Too Much
229(3)
Looking for Trouble
232(2)
Hard to Say
234(1)
Wet Noodle Syndrome
235(4)
Lost in the House of Mirrors
239(3)
Here's What You Should Have Learned
242(1)
If I Had More Time... I'd Have Written Less
243(4)
Appendix 247(26)
Index 273

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