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Clear explanations of theory and design, broad coverage of models and real systems, and an up-to-date introduction to modern database technologies result in a leading introduction to database systems. Intended for computer science majors, this text emphasizes math models, design issues, relational algebra, and relational calculus.
A lab manual and problems give students opportunities to practice the fundamentals of design and implementation. Real-world examples serve as engaging, practical illustrations of database concepts. The Sixth Edition maintains its coverage of the most popular
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Produktbeschreibung
Clear explanations of theory and design, broad coverage of models and real systems, and an up-to-date introduction to modern database technologies result in a leading introduction to database systems. Intended for computer science majors, this text emphasizes math models, design issues, relational algebra, and relational calculus.

A lab manual and problems give students opportunities to practice the fundamentals of design and implementation. Real-world examples serve as engaging, practical illustrations of database concepts. The Sixth Edition maintains its coverage of the most popular database topics, including SQL, security, and data mining, and features increased emphasis on XML and semi-structured data.

Features + Benefits
This market-leading text serves as a valued reference for those who will interact with databases in future courses and careers. Renowned for its accessible, comprehensive coverage, it provides a solid introduction to database systems and applications.

Extensive coverage includes:

Basic topics such as modeling, diagrams, relational algebra/calculus, SQL, normalization.

Advanced object database, mining, XML, and security.

Advanced modeling discussions in the areas of active, temporal, and spatial databases.

Physical database design and tuning.

Current database application areas of GIS, genome, and digital libraries.

The relational approach, including modeling, design, algebra and calculus, and query languages.

Both traditional ER model and UML in data modeling material.

SUPPLEMENTS

Companion Website (Password Protected, access code required)

PPTs - New

Instructor Solutions Manual - New

Online Lab Manual

CourseSmart

Part 1: Introduction to Databases

Chapter 1 Databases and Database Users 3

1.1 Introduction 4

1.2 An Example 6

1.3 Characteristics of the Database Approach 9

1.4 Actors on the Scene 14

1.5 Workers behind the Scene 16

1.6 Advantages of Using the DBMS Approach 17

1.7 A Brief History of Database Applications 23

1.8 When Not to Use a DBMS 26

1.9 Summary 27

Review Questions 27

Exercises 28

Selected Bibliography 28

Chapter 2 Database System Concepts and Architecture 29

2.1 Data Models, Schemas, and Instances 30

2.2 Three-Schema Architecture and Data Independence 33

2.3 Database Languages and Interfaces 36

2.4 The Database System Environment 40

2.5 Centralized and Client/Server Architectures for DBMSs 44

2.6 Classification of Database Management Systems 49

2.7 Summary 52

Review Questions 53

Exercises 54

Selected Bibliography 55

Part 2: Relational Data Model and SQL

Chapter 3 The Relational Data Model and Relational Database Constraints 59

3.1 Relational Model Concepts 60

3.2 Relational Model Constraints and Relational Database Schemas 67

3.3 Update Operations, Transactions, and Dealing with Constraint Violations 75

3.4 Summary 79

Review Questions 80

Exercises 80

Selected Bibliography 85

Chapter 4 Basic SQL 87

4.1 SQL Data Definition and Data Types 89

4.2 Specifying Constraints in SQL 94

4.3 Basic Retrieval Queries in SQL 97

4.4 INSERT, DELETE, and UPDATE Statements in SQL 107

4.5 Additional Features of SQL 110

4.6 Summary 111

Review Questions 112

Exercises 112

Selected Bibliography 114

Chapter 5 More SQL: Complex Queries, Triggers, Views, and Schema Modification 115

5.1 More Complex SQL Retrieval Queries 115

5.2 Specifying Constraints as Assertions and Actions as Triggers 131

5.3 Views (Virtual Tables) in SQL 133

5.4 Schema Change Statements in SQL 137

5.5 Summary 139

Review Questions 141

Exercises 141

Selected Bibliography 143

Chapter 6 The Relational Algebra and Relational Calculus 145

6.1 Unary Relational Operations: SELECT and PROJECT 147

6.2 Relational Algebra Operations from Set Theory 152

6.3 Binary Relational Operations: JOIN and DIVISION 157

6.4 Additional Relational Operations 165

6.5 Examples of Queries in Relational Algebra 171

6.6 The Tuple Relational Calculus 174

6.7 The Domain Relational Calculus 183

6.8 Summary 185

Review Questions 186

Exercises 187

Laboratory Exercises 192

Selected Bibliography 194

Part 3: Conceptual Modeling and Database Design



Chapter 7 Data Modeling Using the Entity-Relationship (ER) Model 199

7.1 Using High-Level Conceptual Data Models for Database Design 200

7.2 A Sample Database Application 202

7.3 Entity Types, Entity Sets, Attributes, and Keys 203

7.4 Relationship Types, Relationship Sets, Roles, and Structural Constraints 212

7.5 Weak Entity Types 219

7.6 Refining the ER Design for the COMPANY Database 220

7.7 ER Diagrams, Naming Conventions, and Design Issues 221

7.8 Example of Other Notation: UML Class Diagrams 226

7.9 Relationship Types of Degree Higher than Two 228

7.10 Summary 232

Review Questions 234

Exercises 234

Laboratory Exercises 241

Selected Bibliography 243

Chapter 8 The Enhanced Entity-Relationship (EER) Model 245

8.1 Subclasses, Superclasses, and Inheritance 246

8.2 Specialization and Generalization 248

8.3 Constraints and Characteristics of Specialization and Generalization Hierarchies 251

8.4 Modeling of UNION Types Using Categories 258

8.5 A Sample UNIVERSITY EER Schema, Design Choices, and Formal Definitions 260

8.6 Example of Other Notation: Representing Specialization and Generalization in UML Class Diagrams 265

8.7 Data Abstraction, Knowledge Representation, and Ontology Concepts 267

8.8 Summary 273

Review Questions 273

Exercises 274

Laboratory Exercises 281

Selected Bibliography 284

Chapter 9 Relational Database Design by ERand EER-to-Relational Mapping 285

9.1 Relational Database Design Using ER-to-Relational Mapping 286

9.2 Mapping EER Model Constructs to Relations 294

9.3 Summary 299

Review Questions 299

Exercises 299

Laboratory Exercises 301

Selected Bibliography 302

Chapter 10 Practical Database Design Methodology and Use of UML Diagrams 303

10.1 The Role of Information Systems in Organizations 304

10.2 The Database Design and Implementation Process 309

10.3 Use of UML Diagrams as an Aid to Database Design Specification 328

10.4 Rational Rose: A UML-Based Design Tool 337

10.5 Automated Database Design Tools 342

10.6 Summary 345

Review Questions 347

Selected Bibliography 348

Part 4: Object, Object-Relational, and XML Models

Chapter 11 Object and Object-Relational Databases 353

11.1 Overview of Object Database Concepts 355

11.2 Object-Relational Features: Object Database Extensions to SQL 369

11.3 The ODMG Object Model and the Object Definition Language ODL 376

11.4 Object Database Conceptual Design 395

11.5 The Object Query Language OQL 398

11.6 Overview of the C++ Language Binding in the ODMG Standard 407

11.7 Summary 408

Review Questions 409

Exercises 411

Selected Bibliography 412

Chapter 12 XML: Extensible Markup Language 415

12.1 Structured, Semistructured, and Unstructured Data 416

12.2 XML Hierarchical (Tree) Data Model 420

12.3 XML Documents, DTD, and XML Schema 423

12.4 Storing and Extracting XML Documents from Databases 431

12.5 XML Languages 432

12.6 Extracting XML Documents from Relational Databases 436

12.7 Summary 442

Review Questions 442

Exercises 443

Selected Bibliog