Database Modeling and Design

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Database Modeling & Design: Logical Design Fourth Edition TOBY TEOREY SAM LIGHTSTONE TOM NADEAU AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO MORGAN KAUFMANN PUBLISHERS IS AN IMPRINT OF ELSEVIER
Page 2: Database Modeling & Design Fourth E
Page 6: Joe Celko’s Data and Databases: C
Page 14: To Matt, Carol, and Marilyn (Toby T
Page 20: x Contents 2.2 Advanced ER Construc
Page 24: xii Contents 6.4 Determining the Mi
Page 28: 1 Introduction D atabase technology
Page 32: 1.2 The Database Life Cycle 3 1.2 T
Page 36: 1.2 The Database Life Cycle 5 Step
Page 40: 1.2 The Database Life Cycle 7 Step
Page 44: 1.3 Conceptual Data Modeling 9 it i
Page 48: 1.4 Summary 11 1.4 Summary Knowledg
Page 54: 14 CHAPTER 2 The Entity-Relationshi
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16 CHAPTER 2 The Entity-Relationshi
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3 The Unified Modeling Language (UM
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3.1 Class Diagrams 35 these are not
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3.1 Class Diagrams 37 among multipl
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3.1 Class Diagrams 39 ment to the a
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3.1 Class Diagrams 41 ship. The cla
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3.1 Class Diagrams 43 with a stereo
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3.1 Class Diagrams 45 package conta
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3.2 Activity Diagrams 47 Nodes init
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3.2 Activity Diagrams 49 Customer R
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3.4 Summary 51 oriented verbally, o
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54 CHAPTER 4 Requirements Analysis
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84 CHAPTER 5 Transforming the Conce
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100 CHAPTER 5 Transforming the Conc
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108 CHAPTER 6 Normalization Sales p
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110 CHAPTER 6 Normalization Report
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112 CHAPTER 6 Normalization Conside
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114 CHAPTER 6 Normalization Report
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116 CHAPTER 6 Normalization This ta
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118 CHAPTER 6 Normalization superke
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120 CHAPTER 6 Normalization sumed t
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122 CHAPTER 6 Normalization Table 6
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124 CHAPTER 6 Normalization Before
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126 CHAPTER 6 Normalization this po
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128 CHAPTER 6 Normalization then th
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130 CHAPTER 6 Normalization Employe
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132 CHAPTER 6 Normalization skill_r
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134 CHAPTER 6 Normalization 5NF or
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136 CHAPTER 6 Normalization Table 6
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138 CHAPTER 6 Normalization The fol
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140 CHAPTER 7 An Example of Logical
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8 Business Intelligence Business in
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8.1 Data Warehousing 149 Table 8.1
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8.1 Data Warehousing 151 administra
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8.1 Data Warehousing 153 Project Pl
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8.1 Data Warehousing 155 is January
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8.1 Data Warehousing 157 Country St
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8.1 Data Warehousing 159 machine us
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8.1 Data Warehousing 161 Date «pk
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8.1 Data Warehousing 163 There are
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8.1 Data Warehousing 165 Shape Text
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8.2 Online Analytical Processing (O
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8.3 Data Mining 179 ments. Associat
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8.3 Data Mining 181 Figure 8.18 Dou
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8.3 Data Mining 183 Figure 8.21 Tri
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8.4 Summary 185 100 80 60 Cars Truc
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9 CASE Tools for Logical Database D
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9.1 Introduction to the CASE Tools
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9.2 Key Capabilities to Watch For 1
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9.3 The Basics 193 • An entity ta
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9.3 The Basics 195 Figure 9.5 Divis
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9.4 Generating a Database from a De
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9.5 Database Support 199 is massive
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9.7 Distributed Development 201 pro
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9.8 Application Life Cycle Tooling
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9.9 Design Compliance Checking 205
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9.11 Modeling a Data Warehouse 207
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9.12 Semi-Structured Data, XML 209
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9.13 Summary 211 9.13 Summary There
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214 Appendix: The Basics of SQL typ
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216 Appendix: The Basics of SQL cre
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218 Appendix: The Basics of SQL tab
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220 Appendix: The Basics of SQL Bas
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222 Appendix: The Basics of SQL tha
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224 Appendix: The Basics of SQL sel
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226 Appendix: The Basics of SQL (se
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228 Appendix: The Basics of SQL del
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Glossary activity diagram (UML)—A
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Glossary 233 database administrator
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Glossary 235 functional dependency
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Glossary 237 requirements specifica
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References Ambler, S. Agile Databas
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References 241 Cobb, R. E., Fry, J.
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References 243 Jajodia, S., and Ng,
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References 245 Sakai, H. “Entity-
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References 247 Zachmann, J. A. “A
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250 Exercises Assertions: • An in
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252 Exercises Transformation of the
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254 Exercises reservation_no -> dep
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256 Exercises 1. ABCD -> EFGHIJK 8.
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258 Exercises base schema. You shou
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260 Solutions to Selected Exercises
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262 Solutions to Selected Exercises
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264 About the Authors Tom Nadeau is
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266 Index Attributes (cont’d.) da
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268 Index Data manipulation languag
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270 Index Generalization, 23 comple
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272 Index Primary FDs (cont’d.) f
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274 Index Ternary relationships (co
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