Database Modeling and Design

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6.1 Fundamentals of Normalization 113 Report 1 report_no editor dept_no dept_name dept_addr 4216 5789 woolf koenig 15 27 design analysis argus 1 argus 2 Report 2 author_id 53 44 71 26 38 71 author_name mantei bolton koenig fry umar koenig author_addr cs-tor mathrev mathrev folkstone prise mathrev Report 3 report_no 4216 4216 4216 5789 5789 5789 author_id 53 44 71 26 38 71 Figure 6.3 2NF tables Not all performance degradation is eliminated, however; report_no is still duplicated for each author, and deletion of a report requires updates to two tables (report1 and report3) instead of one. However, these are minor problems compared to those in the 1NF table report. Note that these three report tables in 2NF could have been generated directly from an ER (or UML) diagram that equivalently modeled this situation with entities Author and Report and a many-to-many relationship between them. 6.1.4 Third Normal Form The 2NF tables we established in the previous section represent a significant improvement over 1NF tables. However, they still suffer from
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Database Modeling & Design Fourth E
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Joe Celko’s Data and Databases: C
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Publishing Director Michael Forster
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Contents Preface xv Chapter 1 Intro
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Contents xi 4.4.4 Merging and Restr
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Contents xiii Chapter 9 CASE Tools
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2 CHAPTER 1 Introduction In this ch
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4 CHAPTER 1 Introduction Informatio
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6 CHAPTER 1 Introduction II(b)], tw
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8 CHAPTER 1 Introduction tional rel
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10 CHAPTER 1 Introduction Customer
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2 The Entity-Relationship Model T h
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2.1 Fundamental ER Constructs 15 at
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2.1 Fundamental ER Constructs 17 Co
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2.1 Fundamental ER Constructs 19 12
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2.1 Fundamental ER Constructs 21 us
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2.2 Advanced ER Constructs 23 2.2 A
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2.2 Advanced ER Constructs 25 Softw
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2.2 Advanced ER Constructs 27 Proje
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2.2 Advanced ER Constructs 29 entit
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2.4 Literature Summary 31 2.4 Liter
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34 CHAPTER 3 The Unified Modeling L
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4 Requirements Analysis and Concept
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4.3 Conceptual Data Modeling 55 •
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4.3 Conceptual Data Modeling 57 inc
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4.3 Conceptual Data Modeling 59 Emp
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4.3 Conceptual Data Modeling 61 con
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4.3 Conceptual Data Modeling 63 Emp
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4.3 Conceptual Data Modeling 65 Div
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4.4 View Integration 67 Customer 1
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4.4 View Integration 69 nectivity c
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4.4 View Integration 71 Publication
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4.4 View Integration 73 N Publicati
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4.5 Entity Clustering for ER Models
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4.6 Summary 81 Department Division/
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5 Transforming the Conceptual Data
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5.1 Transformation Rules and SQL Co
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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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Database Modeling and Design

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