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Data Warehouse Requirements Engineering - A Decision Based Approach
von: Naveen Prakash, Deepika Prakash
Springer-Verlag, 2018
ISBN: 9789811070198 , 182 Seiten
Format: PDF, OL
Kopierschutz: Wasserzeichen
Preis: 64,19 EUR
Preface
6
Contents
9
About the Authors
12
1 Requirements Engineering for Transactional Systems
14
1.1 Transactional System Development Life Cycle
15
1.2 Transactional Requirements Engineering
18
1.3 Requirements Engineering (RE) as a Process
19
1.4 Informal Approaches to Requirements Elicitation
21
1.5 Model-Driven Techniques
24
1.5.1 Goal Orientation
24
1.5.2 Agent-Oriented Requirements Engineering
26
1.5.3 Scenario Orientation
27
1.5.4 Goal–Scenario Coupling
28
1.6 Conclusion
28
References
29
2 Requirements Engineering for Data Warehousing
31
2.1 Data Warehouse Background
31
2.2 Data Warehouse Development Experience
34
2.3 Data Warehouse Systems Development Life Cycle, DWSDLC
36
2.4 Methods for Data Warehouse Development
40
2.4.1 Monolithic Versus Bus Architecture
40
2.4.2 Data Warehouse Agile Methods
42
2.5 Data Mart Consolidation
46
2.6 Strategic Alignment
50
2.7 Data Warehouse Requirements Engineering
52
2.7.1 Goal-Oriented DWRE Techniques
55
2.7.2 Goal-Motivated Techniques
58
2.7.3 Miscellaneous Approaches
59
2.7.4 Obtaining Information
59
2.8 Conclusion
60
References
61
3 Issues in Data Warehouse Requirements Engineering
63
3.1 The Central Notion of a Decision
63
3.1.1 The Decision Process
64
3.1.2 Decision-Oriented Data Warehousing
66
3.2 Obtaining Information Requirements
72
3.2.1 Critical Success Factors
72
3.2.2 Ends Achievement
73
3.2.3 Means Efficiency
74
3.2.4 Feedback Analysis
74
3.2.5 Summary
74
3.3 Requirements Consolidation
75
3.4 Conclusion
80
References
81
4 Discovering Decisions
82
4.1 Deciding Enterprise Policies
83
4.1.1 Representing Policies
85
4.1.2 Policies to Choice Sets
86
4.2 Deciding Policy Enforcement Rules
90
4.2.1 Representing Enforcement Rules
91
4.2.2 Developing Choice Sets
93
4.3 Defining Operational Decisions
100
4.3.1 Structure of an Action
100
4.4 Computer-Aided Support for Obtaining Decisions
103
4.4.1 Architecture
103
4.4.2 User Interface
105
4.5 Conclusion
109
References
110
5 Information Elicitation
111
5.1 Obtaining Multidimensional Structure
111
5.2 Decisional Information Elicitation
113
5.3 The Decision Requirement Model
116
5.3.1 The Notion of a Decision
116
5.3.2 Metamodel of Decisions
117
5.3.3 Information
119
5.4 Eliciting Information
121
5.4.1 CSFI Elicitation
121
5.4.2 ENDSI Elicitation
122
5.4.3 MEANSI Elicitation
123
5.4.4 Feedback Information Elicitation
124
5.5 The Global Elicitation Process
124
5.6 Eliciting Information for Policy Decision-Making
126
5.6.1 CSFI Elicitation
126
5.6.2 Ends Information Elicitation
128
5.7 Eliciting Information for PER Formulation
128
5.8 Information Elicitation for Operational Systems
130
5.8.1 Elicitation for Selecting PER
130
5.8.2 Information Elicitation for Actions
131
5.9 The Late Information Substage
135
5.9.1 ER Schema for Policy Formulation
135
5.9.2 ER Schema for PER Formulation and Operations
136
5.9.3 Guidelines for Constructing ER Schema
136
5.10 Computer-Based Support for Information Elicitation
137
5.10.1 User Interfaces
137
5.10.2 The Early Information Base
141
5.11 Conclusion
142
References
143
6 The Development Process
144
6.1 Agile Data Warehouse Development
144
6.2 Decision Application Model (DAM) for Agility
146
6.3 A Hierarchical View
148
6.4 Granularity of Requirements
150
6.4.1 Selecting the Right Granularity
153
6.5 Showing Agility Using an Example
157
6.6 Comparison of DAM and Epic–Theme–Story Approach
159
6.7 Data Warehouse Consolidation
160
6.8 Approaches to Consolidation
164
6.9 Consolidating Requirements Granules
165
6.9.1 An Example Showing Consolidation
169
6.10 Tool Support
174
6.11 Conclusion
176
References
177
7 Conclusion
178
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