Muutke küpsiste eelistusi

Data Modeling: Theory & Practice [Pehme köide]

  • Formaat: Paperback / softback, 400 pages, kõrgus x laius: 180x260 mm, kaal: 842 g, Illustrations
  • Ilmumisaeg: 27-Mar-2007
  • Kirjastus: Technics Publications LLC
  • ISBN-10: 0977140016
  • ISBN-13: 9780977140015
Teised raamatud teemal:
  • Formaat: Paperback / softback, 400 pages, kõrgus x laius: 180x260 mm, kaal: 842 g, Illustrations
  • Ilmumisaeg: 27-Mar-2007
  • Kirjastus: Technics Publications LLC
  • ISBN-10: 0977140016
  • ISBN-13: 9780977140015
Teised raamatud teemal:
Part I - Introduction
1(22)
Introduction
3(20)
The starting point
3(2)
Conflicting views
5(2)
Importance of the distinction
7(4)
Clarifying the question
11(7)
Overview of research design
18(1)
Organization of the book
19(4)
Part II - Theory
23(98)
Definitions of design and data modeling
25(8)
Design in information systems
25(2)
Definitions of design
27(3)
Definitions of data modeling
30(3)
Beliefs about the database design process
33(30)
A model of the database design process
34(6)
Interaction with the UoD
40(2)
Requirements analysis
42(2)
Conceptual data modeling
44(8)
View integration
52(2)
Logical data modeling
54(3)
Physical database design
57(1)
External schema specification
58(1)
Process modeling
59(1)
Beliefs from end-to-end
60(3)
Comparison with Lawson's model
63(26)
Lawson's characteristics of design
63(1)
Problem
63(5)
Process
68(8)
Product
76(11)
Summary and review
87(2)
Studies of human factors in data modeling
89(6)
The gold standard
90(1)
Industry participation
91(1)
Problem complexity
92(1)
Focus of the studies
92(1)
Generalizing the findings
93(1)
Summary
94(1)
What the thought-leaders think
95(26)
Introduction
95(1)
Design and method
96(2)
Participants
98(2)
Results
100(17)
Discussion
117(4)
Part III - Practice
121(202)
Research design
123(24)
Introduction
123(1)
Research question and sub-questions
123(2)
Research design - overview
125(7)
Data collection and management
132(4)
Use of statistics
136(4)
Participants
140(7)
Scope and stages
147(36)
Introduction
147(1)
Research design
148(1)
Measures
149(2)
The Scope and Stages questionnaire
151(2)
Method
153(5)
Sample
158(1)
Results
158(18)
Discussion and conclusions
176(7)
How practitioners describe data modeling
183(14)
Introduction and objectives
183(1)
Research design
184(1)
Method
185(2)
Sample
187(1)
Results
188(6)
Discussion
194(3)
Characteristics of data modeling
197(28)
Introduction and objectives
197(1)
Research design
198(1)
Measures
198(4)
The Characteristics of Design questionnaire
202(1)
Method
203(2)
Samples
205(1)
Results
206(9)
Analysis by property
215(7)
Discussion and conclusions
222(3)
Diversity in conceptual data modeling
225(40)
Objectives and approach
225(1)
Research design
226(1)
Measures
227(5)
Materials
232(2)
Method
234(4)
Samples
238(1)
Results
239(16)
Coda: The real-world solution
255(1)
Discussion
256(9)
Diversity in logical data modeling
265(38)
Objectives and approach
265(2)
Research design
267(1)
Assessment of diversity
268(2)
Materials
270(1)
Method
271(3)
Samples
274(1)
Results
275(17)
Discussion
292(11)
Style in data modeling
303(20)
Objectives and approach
303(1)
Research design: An indicator of style
304(2)
Measures
306(1)
Materials
307(1)
Method
308(2)
Samples
310(1)
Results
311(9)
Discussion
320(3)
Part IV - Synthesis and conclusions
323(32)
Synthesis and conclusions
325(30)
Introduction
325(1)
Answering the sub-questions
326(13)
An alternative perspective
339(2)
Generalizing the findings
341(2)
Implications
343(7)
Research directions
350(5)
References, Appendix & Index 355(2)
References 357(24)
Appendix - Studies of human factors in data modeling 381(14)
Index 395