Database Modeling and Design

More documents

Recommendations

Info

150 CHAPTER 8 Business Intelligence Operational Applications Operational Applications Operational Applications feeder DB1 feeder DB2 feeder DB3 Extract Extract Extract Staging Area Transform Load Report Generators OLAP Ad Hoc Query Tools Data Warehouse Datamining Figure 8.1 Basic data warehouse architecture useful if the warehouse is implemented as a multidatabase or federated database. 3. The data is considered to be nonvolatile and should be mass loaded. Data extraction from current databases to the DW requires that a decision should be made whether to extract the data using standard relational database (RDB) techniques at the row or column level or specialized techniques for mass extraction. Data cleaning tools are required to maintain data quality—for example, to detect missing data, inconsistent data, homonyms, synonyms, and data with different units. Data migration, data scrubbing, and data auditing tools handle specialized problems in data cleaning and transformation. Such tools are similar to those used for conventional relational database schema (view) integration. Load utilities take cleaned data and load it into the DW, using batch processing techniques. Refresh techniques propagate updates on the source data to base data and derived data in the DW. The decision of when and how to refresh is made by the DW
Page 2:
Database Modeling & Design Fourth E
Page 6:
Joe Celko’s Data and Databases: C
Page 12:
Publishing Director Michael Forster
Page 18:
Contents Preface xv Chapter 1 Intro
Page 22:
Contents xi 4.4.4 Merging and Restr
Page 26:
Contents xiii Chapter 9 CASE Tools
Page 30:
2 CHAPTER 1 Introduction In this ch
Page 34:
4 CHAPTER 1 Introduction Informatio
Page 38:
6 CHAPTER 1 Introduction II(b)], tw
Page 42:
8 CHAPTER 1 Introduction tional rel
Page 46:
10 CHAPTER 1 Introduction Customer
Page 52:
2 The Entity-Relationship Model T h
Page 56:
2.1 Fundamental ER Constructs 15 at
Page 60:
2.1 Fundamental ER Constructs 17 Co
Page 64:
2.1 Fundamental ER Constructs 19 12
Page 68:
2.1 Fundamental ER Constructs 21 us
Page 72:
2.2 Advanced ER Constructs 23 2.2 A
Page 76:
2.2 Advanced ER Constructs 25 Softw
Page 80:
2.2 Advanced ER Constructs 27 Proje
Page 84:
2.2 Advanced ER Constructs 29 entit
Page 88:
2.4 Literature Summary 31 2.4 Liter
Page 94:
34 CHAPTER 3 The Unified Modeling L
Page 98:
Page 102:
Page 106:
Page 110:
Page 114:
Page 118:
Page 122:
Page 126:
Page 132:
4 Requirements Analysis and Concept
Page 136:
4.3 Conceptual Data Modeling 55 •
Page 140:
4.3 Conceptual Data Modeling 57 inc
Page 144:
4.3 Conceptual Data Modeling 59 Emp
Page 148:
4.3 Conceptual Data Modeling 61 con
Page 152:
4.3 Conceptual Data Modeling 63 Emp
Page 156:
4.3 Conceptual Data Modeling 65 Div
Page 160:
4.4 View Integration 67 Customer 1
Page 164:
4.4 View Integration 69 nectivity c
Page 168:
4.4 View Integration 71 Publication
Page 172:
4.4 View Integration 73 N Publicati
Page 176:
4.5 Entity Clustering for ER Models
Page 180:
Page 184:
Page 188:
4.6 Summary 81 Department Division/
Page 192:
5 Transforming the Conceptual Data
Page 196:
5.1 Transformation Rules and SQL Co
Page 200:
Page 204:
Page 208:
Page 212:
Page 216:
Page 220:
Page 224:
Page 228:
Page 232:
5.2 Transformation Steps 103 there
Page 236:
5.2 Transformation Steps 105 5.2.3
Page 240:
6 Normalization T his chapter focus
Page 244:
6.1 Fundamentals of Normalization 1
Page 248:
Page 252:
Page 256:
Page 260:
6.2 The Design of Normalized Tables
Page 264:
6.3 Normalization of Candidate Tabl
Page 268:
6.3 Normalization of Candidate Tabl
Page 272:
6.4 Determining the Minimum Set of
Page 276: 6.4 Determining the Minimum Set of
Page 280: 6.5 Fourth and Fifth Normal Forms 1
Page 300: 6.6 Summary 137 Table 6.8 Summary o
Page 304: 7 An Example of Logical Database De
Page 308: 7.2 Logical Design 141 7.2 Logical
Page 312: 7.2 Logical Design 143 create table
Page 316: 7.3 Summary 145 Table 7.3 Decomposi
Page 322: 148 CHAPTER 8 Business Intelligence
Page 328: 8.1 Data Warehousing 151 administra
Page 332: 8.1 Data Warehousing 153 Project Pl
Page 336: 8.1 Data Warehousing 155 is January
Page 340: 8.1 Data Warehousing 157 Country St
Page 344: 8.1 Data Warehousing 159 machine us
Page 348: 8.1 Data Warehousing 161 Date «pk
Page 352: 8.1 Data Warehousing 163 There are
Page 356: 8.1 Data Warehousing 165 Shape Text
Page 360: 8.2 Online Analytical Processing (O
Page 376:
8.2 Online Analytical Processing (O
Page 380:
8.2 Online Analytical Processing (O
Page 384:
8.3 Data Mining 179 ments. Associat
Page 388:
8.3 Data Mining 181 Figure 8.18 Dou
Page 392:
8.3 Data Mining 183 Figure 8.21 Tri
Page 396:
8.4 Summary 185 100 80 60 Cars Truc
Page 400:
9 CASE Tools for Logical Database D
Page 404:
9.1 Introduction to the CASE Tools
Page 408:
9.2 Key Capabilities to Watch For 1
Page 412:
9.3 The Basics 193 • An entity ta
Page 416:
9.3 The Basics 195 Figure 9.5 Divis
Page 420:
9.4 Generating a Database from a De
Page 424:
9.5 Database Support 199 is massive
Page 428:
9.7 Distributed Development 201 pro
Page 432:
9.8 Application Life Cycle Tooling
Page 436:
9.9 Design Compliance Checking 205
Page 440:
9.11 Modeling a Data Warehouse 207
Page 444:
9.12 Semi-Structured Data, XML 209
Page 448:
9.13 Summary 211 9.13 Summary There
Page 454:
214 Appendix: The Basics of SQL typ
Page 458:
216 Appendix: The Basics of SQL cre
Page 462:
218 Appendix: The Basics of SQL tab
Page 466:
220 Appendix: The Basics of SQL Bas
Page 470:
222 Appendix: The Basics of SQL tha
Page 474:
224 Appendix: The Basics of SQL sel
Page 478:
226 Appendix: The Basics of SQL (se
Page 482:
228 Appendix: The Basics of SQL del
Page 488:
Glossary activity diagram (UML)—A
Page 492:
Glossary 233 database administrator
Page 496:
Glossary 235 functional dependency
Page 500:
Glossary 237 requirements specifica
Page 504:
References Ambler, S. Agile Databas
Page 508:
References 241 Cobb, R. E., Fry, J.
Page 512:
References 243 Jajodia, S., and Ng,
Page 516:
References 245 Sakai, H. “Entity-
Page 520:
References 247 Zachmann, J. A. “A
Page 526:
250 Exercises Assertions: • An in
Page 530:
252 Exercises Transformation of the
Page 534:
254 Exercises reservation_no -> dep
Page 538:
256 Exercises 1. ABCD -> EFGHIJK 8.
Page 542:
258 Exercises base schema. You shou
Page 546:
260 Solutions to Selected Exercises
Page 550:
262 Solutions to Selected Exercises
Page 554:
264 About the Authors Tom Nadeau is
Page 558:
266 Index Attributes (cont’d.) da
Page 562:
268 Index Data manipulation languag
Page 566:
270 Index Generalization, 23 comple
Page 570:
272 Index Primary FDs (cont’d.) f
Page 574:
274 Index Ternary relationships (co
show all

Database Modeling and Design

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?