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Database Systems: A Practical Approach to Design, Implementation, and Management

Database Systems: A Practical Approach to Design, Implementation, and Management


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About the Book

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.

Database Systems is ideal for a one- or two-term course in database management or database design in an undergraduate or graduate level course. With its comprehensive coverage, this book can also be used as a reference for IT professionals.

This best-selling text introduces the theory behind databases in a concise yet comprehensive manner, providing database design methodology that can be used by both technical and non-technical readers. The methodology for relational Database Management Systems is presented in simple, step-by-step instructions in conjunction with a realistic worked example using three explicit phases—conceptual, logical, and physical database design.

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Teaching and Learning Experience

This program presents a better teaching and learning experience–for you and your students. It provides:

  • Database Design Methodology that can be Used by Both Technical and Non-technical Readers
  • A Comprehensive Introduction to the Theory behind Databases
  • A Clear Presentation that Supports Learning


Table of Contents:
Table of Contents Part 1 Background
  • Chapter 1 Introduction to Databases
    • 1.1 Introduction
    • 1.2 Traditional File-Based Systems
      • 1.2.1 File-Based Approach
      • 1.2.2 Limitations of the File-Based Approach
    • 1.3 Database Approach
      • 1.3.1 The Database
      • 1.3.2 The Database Management System (DBMS)
      • 1.3.3 (Database) Application Programs
      • 1.3.4 Components of the DBMS Environment
      • 1.3.5 Database Design: The Paradigm Shift
    • 1.4 Roles in the Database Environment
      • 1.4.1 Data and Database Administrators
      • 1.4.2 Database Designers
      • 1.4.3 Application Developers
      • 1.4.4 End-Users
    • 1.5 History of Database Management Systems
    • 1.6 Advantages and Disadvantages of DBMSs
    • Chapter Summary
    • Review Questions
    • Exercises
  • Chapter 2 Database Environment
    • 2.1 The Three-Level ANSI-SPARC Architecture
      • 2.1.1 External Level
      • 2.1.2 Conceptual Level
      • 2.1.3 Internal Level
      • 2.1.4 Schemas, Mappings, and Instances
      • 2.1.5 Data Independence
    • 2.2 Database Languages
      • 2.2.1 The Data Definition Language (DDL)
      • 2.2.2 The Data Manipulation Language (DML)
      • 2.2.3 Fourth-Generation Languages (4GLs)
    • 2.3 Data Models and Conceptual Modeling
      • 2.3.1 Object-Based Data Models
      • 2.3.2 Record-Based Data Models
      • 2.3.3 Physical Data Models
      • 2.3.4 Conceptual Modeling
    • 2.4 Functions of a DBMS
    • Chapter Summary
    • Review Questions
    • Exercises
  • Chapter 3 Database Architectures and the Web
    • 3.1 Multi-user DBMS Architectures
      • 3.1.1 Teleprocessing
      • 3.1.2 File-Server Architecture
      • 3.1.3 Traditional Two-Tier Client—Server Architecture
      • 3.1.4 Three-Tier Client—Server Architecture
      • 3.1.5 N-Tier Architectures
      • 3.1.6 Middleware
      • 3.1.7 Transaction Processing Monitors
    • 3.2 Web Services and Service-Oriented Architectures
      • 3.2.1 Web Services
      • 3.2.2 Service-Oriented Architectures (SOA)
    • 3.3 Distributed DBMSs
    • 3.4 Data Warehousing
    • 3.5 Cloud Computing
      • 3.5.1 Benefits and Risks of Cloud Computing
      • 3.5.2 Cloud-based database solutions
    • 3.6 Components of a DBMS
    • 3.7 Oracle Architecture
      • 3.7.1 Oracle’s Logical Database Structure
      • 3.7.2 Oracle’s Physical Database Structure
    • Chapter Summary
    • Review Questions
    • Exercises
    Part 2 The Relational Model and Languages
    • Chapter 4 The Relational Model
      • 4.1 Brief History of the Relational Model
      • 4.2 Terminology
        • 4.2.1 Relational Data Structure
        • 4.2.2 Mathematical Relations
        • 4.2.3 Database Relations
        • 4.2.4 Properties of Relations
        • 4.2.5 Relational Keys
        • 4.2.6 Representing Relational Database Schemas
      • 4.3 Integrity Constraints
        • 4.3.1 Nulls
        • 4.3.2 Entity Integrity
        • 4.3.3 Referential Integrity
        • 4.3.4 General Constraints
      • 4.4 Views
        • 4.4.1 Terminology
        • 4.4.2 Purpose of Views
        • 4.4.3 Updating Views
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 5 Relational Algebra and Relational Calculus
      • 5.1 The Relational Algebra
        • 5.1.1 Unary Operations
        • 5.1.2 Set Operations
        • 5.1.3 Join Operations
        • 5.1.4 Division Operation
        • 5.1.5 Aggregation and Grouping Operations
        • 5.1.6 Summary of the Relational Algebra Operations
      • 5.2 The Relational Calculus
        • 5.2.1 Tuple Relational Calculus
        • 5.2.2 Domain Relational Calculus
      • 5.3 Other Languages
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 6 SQL: Data Manipulation
      • 6.1 Introduction to SQL
        • 6.1.1 Objectives of SQL
        • 6.1.2 History of SQL
        • 6.1.3 Importance of SQL
        • 6.1.4 Terminology
      • 6.2 Writing SQL Commands
      • 6.3 Data Manipulation
        • 6.3.1 Simple Queries
        • 6.3.2 Sorting Results (ORDER BY Clause)
        • 6.3.3 Using the SQL Aggregate Functions
        • 6.3.4 Grouping Results (GROUP BY Clause)
        • 6.3.5 Subqueries
        • 6.3.6 ANY and ALL
        • 6.3.7 Multi-table Queries
        • 6.3.8 EXISTS and NOT EXISTS
        • 6.3.9 Combining Result Tables (UNION, INTERSECT, EXCEPT)
        • 6.3.10 Database Updates
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 7 SQL: Data Definition
      • 7.1 The ISO SQL Data Types
        • 7.1.1 SQL Identifiers
        • 7.1.2 SQL Scalar Data Types
      • 7.2 Integrity Enhancement Feature
        • 7.2.1 Required Data
        • 7.2.2 Domain Constraints
        • 7.2.3 Entity Integrity
        • 7.2.4 Referential Integrity
        • 7.2.5 General Constraints
      • 7.3 Data Definition
        • 7.3.1 Creating a Database
        • 7.3.2 Creating a Table (CREATE TABLE)
        • 7.3.3 Changing a Table Definition (ALTER TABLE)
        • 7.3.4 Removing a Table (DROP TABLE)
        • 7.3.5 Creating an Index (CREATE INDEX)
        • 7.3.6 Removing an Index (DROP INDEX)
      • 7.4 Views
        • 7.4.1 Creating a View (CREATE VIEW)
        • 7.4.2 Removing a View (DROP VIEW)
        • 7.4.3 View Resolution
        • 7.4.4 Restrictions on Views
        • 7.4.5 View Updatability
        • 7.4.6 WITH CHECK OPTION
        • 7.4.7 Advantages and Disadvantages of Views
        • 7.4.8 View Materialization
      • 7.5 Transactions
        • 7.5.1 Immediate and Deferred Integrity Constraints
      • 7.6 Discretionary Access Control
        • 7.6.1 Granting Privileges to Other Users (GRANT)
        • 7.6.2 Revoking Privileges from Users (REVOKE)
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 8 Advanced SQL
      • 8.1 The SQL Programming Language
        • 8.1.1 Declarations
        • 8.1.2 Assignments
        • 8.1.3 Control Statements
        • 8.1.4 Exceptions in PL/SQL
        • 8.1.5 Cursors in PL/SQL
      • 8.2 Subprograms, Stored Procedures, Functions, and Packages
      • 8.3 Triggers
      • 8.4 Recursion
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 9 Object-Relational DBMSs
      • 9.1 Advanced Database Applications
      • 9.2 Weaknesses of RDBMSs
      • 9.3 Storing Objects in a Relational Database
        • 9.3.1 Mapping Classes to Relations
        • 9.3.2 Accessing Objects in the Relational Database
      • 9.4 Introduction to Object-Relational Database Systems
      • 9.5 SQL:2011
        • 9.5.1 Row Types
        • 9.5.2 User-Defined Types
        • 9.5.3 Subtypes and Supertypes
        • 9.5.4 User-Defined Routines
        • 9.5.5 Polymorphism
        • 9.5.6 Reference Types and Object Identity
        • 9.5.7 Creating Tables
        • 9.5.8 Querying Data
        • 9.5.9 Collection Types
        • 9.5.10 Typed Views
        • 9.5.11 Persistent Stored Modules
        • 9.5.12 Triggers
        • 9.5.13 Large Objects
        • 9.5.14 Recursion
      • 9.6 Object-Oriented Extensions in Oracle
        • 9.6.1 User-Defined Data Types
        • 9.6.2 Manipulating Object Tables
        • 9.6.3 Object Views
        • 9.6.4 Privileges
      • Chapter Summary
      • Review Questions
      • Exercises
    Part 3 Database Analysis and Design
    • Chapter 10 Database System Development Lifecycle
      • 10.1 The Information Systems Lifecycle
      • 10.2 The Database System Development Lifecycle
      • 10.3 Database Planning
      • 10.4 System Definition
        • 10.4.1 User Views
      • 10.5 Requirements Collection and Analysis
        • 10.5.1 Centralized Approach
        • 10.5.2 View Integration Approach
      • 10.6 Database Design
        • 10.6.1 Approaches to Database Design
        • 10.6.2 Data Modeling
        • 10.6.3 Phases of Database Design
      • 10.7 DBMS Selection
        • 10.7.1 Selecting the DBMS
      • 10.8 Application Design
        • 10.8.1 Transaction Design
        • 10.8.2 User Interface Design Guidelines
      • 10.9 Prototyping
      • 10.10 Implementation
      • 10.11 Data Conversion and Loading
      • 10.12 Testing
      • 10.13 Operational Maintenance
      • 10.14 CASE Tools
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 11 Database Analysis and the DreamHome Case Study
      • 11.1 When Are Fact-Finding Techniques Used?
      • 11.2 What Facts Are Collected?
      • 11.3 Fact-Finding Techniques
        • 11.3.1 Examining Documentation
        • 11.3.2 Interviewing
        • 11.3.3 Observing the Enterprise in Operation
        • 11.3.4 Research
        • 11.3.5 Questionnaires
      • 11.4 Using Fact-Finding Techniques: A Worked -Example
        • 11.4.1 The DreamHome Case Study–An Overview of the Current System
        • 11.4.2 The DreamHome Case Study–Database Planning
        • 11.4.3 The DreamHome Case Study–System Definition
        • 11.4.4 The DreamHome Case Study–Requirements Collection and Analysis
        • 11.4.5 The DreamHome Case Study–Database Design
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 12 Entity—Relationship Modeling
      • 12.1 Entity Types
      • 12.2 Relationship Types
        • 12.2.1 Degree of Relationship Type
        • 12.2.2 Recursive Relationship
      • 12.3 Attributes
        • 12.3.1 Simple and Composite Attributes
        • 12.3.2 Single-valued and Multi-valued Attributes
        • 12.3.3 Derived Attributes
        • 12.3.4 Keys
      • 12.4 Strong and Weak Entity Types
      • 12.5 Attributes on Relationships
      • 12.6 Structural Constraints
        • 12.6.1 One-to-One (1:1) Relationships
        • 12.6.2 One-to-Many (1:*) Relationships
        • 12.6.3 Many-to-Many (*:*) Relationships
        • 12.6.4 Multiplicity for Complex Relationships
        • 12.6.5 Cardinality and Participation Constraints
      • 12.7 Problems with ER Models
        • 12.7.1 Fan Traps
        • 12.7.2 Chasm Traps
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 13 Enhanced Entity—Relationship Modeling
      • 13.1 Specialization/Generalization
        • 13.1.1 Superclasses and Subclasses
        • 13.1.2 Superclass/Subclass Relationships
        • 13.1.3 Attribute Inheritance
        • 13.1.4 Specialization Process
        • 13.1.5 Generalization Process
        • 13.1.6 Constraints on Specialization/Generalization
        • 13.1.7 Worked Example of using Specialization/ Generalization to Model the Branch View of the DreamHome Case Study
      • 13.2 Aggregation
      • 13.3 Composition
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 14 Normalization
      • 14.1 The Purpose of Normalization
      • 14.2 How Normalization Supports Database Design
      • 14.3 Data Redundancy and Update Anomalies
        • 14.3.1 Insertion Anomalies
        • 14.3.2 Deletion Anomalies
        • 14.3.3 Modification Anomalies
      • 14.4 Functional Dependencies
        • 14.4.1 Characteristics of Functional Dependencies
        • 14.4.2 Identifying Functional Dependencies
        • 14.4.3 Identifying the Primary Key for a Relation Using Functional Dependencies
      • 14.5 The Process of Normalization
      • 14.6 First Normal Form (1NF)
      • 14.7 Second Normal Form (2NF)
      • 14.8 Third Normal Form (3NF)
      • 14.9 General Definitions of 2NF and 3NF
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 15 Advanced Normalization
      • 15.1 More on Functional Dependencies
        • 15.1.1 Inference Rules for Functional Dependencies
        • 15.1.2 Minimal Sets of Functional Dependencies
      • 15.2 Boyce—Codd Normal Form (BCNF)
        • 15.2.1 Definition of BCNF
      • 15.3 Review of Normalization Up to BCNF
      • 15.4 Fourth Normal Form (4NF)
        • 15.4.1 Multi-Valued Dependency
        • 15.4.2 Definition of Fourth Normal Form
      • 15.5 Fifth Normal Form (5NF)
        • 15.5.1 Lossless-Join Dependency
        • 15.5.2 Definition of Fifth Normal Form
      • Chapter Summary
      • Review Questions
      • Exercises
    Part 4 Methodology
    • Chapter 16 Methodology–Conceptual Database Design
      • 16.1 Introduction to the Database Design Methodology
        • 16.1.1 What Is a Design Methodology?
        • 16.1.2 Conceptual, Logical, and Physical Database Design
        • 16.1.3 Critical Success Factors in Database Design
      • 16.2 Overview of the Database Design Methodology
      • 16.3 Conceptual Database Design Methodology
      • Step 1: Build Conceptual Data Model
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 17 Methodology–Logical Database Design for the Relational Model
      • 17.1 Logical Database Design Methodology for the Relational Model
      • Step 2: Build Logical Data Model
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 18 Methodology–Physical Database Design for Relational Databases
      • 18.1 Comparison of Logical and Physical Database Design
      • 18.2 Overview of the Physical Database Design Methodology
      • 18.3 The Physical Database Design Methodology for Relational Databases
      • Step 3: Translate Logical Data Model for Target DBMS
      • Step 4: Design File Organizations and Indexes
      • Step 5: Design User Views
      • Step 6: Design Security Mechanisms
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 19 Methodology–Monitoring and Tuning the Operational System
      • 19.1 Denormalizing and Introducing Controlled Redundancy
      • Step 7: Consider the Introduction of Controlled Redundancy
      • 19.2 Monitoring the System to Improve Performance
      • Step 8: Monitor and Tune the Operational System
      • Chapter Summary
      • Review Questions
      • Exercises
    Part 5 Selected Database Issues
    • Chapter 20 Security and Administration
      • 20.1 Database Security
        • 20.1.1 Threats
      • 20.2 Countermeasures–Computer-Based Controls
        • 20.2.1 Authorization
        • 20.2.2 Access Controls
        • 20.2.3 Views
        • 20.2.4 Backup and Recovery
        • 20.2.5 Integrity
        • 20.2.6 Encryption
        • 20.2.7 RAID (Redundant Array of Independent Disks)
      • 20.3 Security in Microsoft Office Access DBMS
      • 20.4 Security in Oracle DBMS
      • 20.5 DBMSs and Web Security
        • 20.5.1 Proxy Servers
        • 20.5.2 Firewalls
        • 20.5.3 Message Digest Algorithms and Digital Signatures
        • 20.5.4 Digital Certificates
        • 20.5.5 Kerberos
        • 20.5.6 Secure Sockets Layer and Secure HTTP
        • 20.5.7 Secure Electronic Transactions and Secure Transaction Technology
        • 20.5.8 Java Security
        • 20.5.9 ActiveX Security
      • 20.6 Data Administration and Database Administration
        • 20.6.1 Data Administration
        • 20.6.2 Database Administration
        • 20.6.3 Comparison of Data and Database Administration
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 21 Professional, Legal, and Ethical Issues in Data Management
      • 21.1 Defining Legal and Ethical Issues in IT
        • 21.1.1 Defining Ethics in the Context of IT
        • 21.1.2 The Difference Between Ethical and Legal Behavior
        • 21.1.3 Ethical Behavior in IT
      • 21.2 Legislation and Its Impact on the IT Function
        • 21.2.1 Securities and Exchange Commission (SEC) Regulation National Market System (NMS)
        • 21.2.2 The Sarbanes-Oxley Act, COBIT, and COSO
        • 21.2.3 The Health Insurance Portability and Accountability Act
        • 21.2.4 The European Union (EU) Directive on Data Protection of 1995
        • 21.2.5 The United Kingdom’s Data Protection Act of 1998
        • 21.2.6 Access to Information Laws
        • 21.2.7 International Banking–Basel II Accords
      • 21.3 Establishing a Culture of Legal and Ethical Data Stewardship
        • 21.3.1 Developing an Organization-Wide Policy for Legal and Ethical Behavior
        • 21.3.2 Professional Organizations and Codes of Ethics
        • 21.3.3 Developing an Organization-Wide Policy for Legal and Ethical Behavior for DreamHome
      • 21.4 Intellectual Property
        • 21.4.1 Patent
        • 21.4.2 Copyright
        • 21.4.3 Trademark
        • 21.4.4 Intellectual Property Rights Issues for Software
        • 21.4.5 Intellectual Property Rights Issues for Data
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 22 Transaction Management
      • 22.1 Transaction Support
        • 22.1.1 Properties of Transactions
        • 22.1.2 Database Architecture
      • 22.2 Concurrency Control
        • 22.2.1 The Need for Concurrency Control
        • 22.2.2 Serializability and Recoverability
        • 22.2.3 Locking Methods
        • 22.2.4 Deadlock
        • 22.2.5 Timestamping Methods
        • 22.2.6 Multiversion Timestamp Ordering
        • 22.2.7 Optimistic Techniques
        • 22.2.8 Granularity of Data Items
      • 22.3 Database Recovery
        • 22.3.1 The Need for Recovery
        • 22.3.2 Transactions and Recovery
        • 22.3.3 Recovery Facilities
        • 22.3.4 Recovery Techniques
        • 22.3.5 Recovery in a Distributed DBMS
      • 22.4 Advanced Transaction Models
        • 22.4.1 Nested Transaction Model
        • 22.4.2 Sagas
        • 22.4.3 Multilevel Transaction Model
        • 22.4.4 Dynamic Restructuring
        • 22.4.5 Workflow Models
      • 22.5 Concurrency Control and Recovery in Oracle
        • 22.5.1 Oracle’s Isolation Levels
        • 22.5.2 Multiversion Read Consistency
        • 22.5.3 Deadlock Detection
        • 22.5.4 Backup and Recovery
      • Chapter Summary
      • Review Questions
      • Exercises
    • Chapter 23 Query Processing
      • 23.1 Overview of Query Processing
      • 23.2 Query Decomposition
      • 23.3 Heuristical Approach to Query Optimization
        • 23.3.1 Transformation Rules for the Relational Algebra Operations
        • 23.3.2 Heuristical Processing Strategies
      • 23.4 Cost Estimation for the Relational Algebra Operations
        • 23.4.1 Database Statistics
        • 23.4.2 Selection Operation (S = sp(R))
        • 23.4.3 Join Operation (T = (R 1F S))
        • 23.4.4 Projection Operation (S = pA1, A2, . . . , A m(R))
        • 23.4.5 The Relational Algebra Set Operations (T = R ¿ S, T = R > S, T = R — S)
      • 23.5 Enumeration of Alternative Execution Strategies
        • 23.5.1 Pipelining
        • 23.5.2 Linear Trees
        • 23.5.3 Physical Operators and Execution Strategies
        • 23.5.4 Reducing the Search Space
        • 23.5.5 Enumerating Left-Deep Trees
        • 23.5.6 Semantic Query Optimization
        • 23.5.7 Alternative Approaches to Query Optimization
        • 23.5.8 Distributed Query Optimization
      • 23.6 Query Processing and Optimization
        • 23.6.1 New Index Types
      • 23.7 Query Optimization in Oracle
        • 23.7.1 Rule-Based and Cost-Based Optimization
        • 23.7.2 Histograms
        • 23.7.3 Viewing the Execution Plan
      • Chapter Summary
      • Review Questions
      • Exercises
    Part 6 Distributed DBMSs and Replication
    • Chapter 24 Distributed DBMSs–Concepts and Design
      • 24.1 Introduction
        • 24.1.1 Concepts
        • 24.1.2 Advantages and Disadvantages of DDBMSs
        • 24.1.3 Homogeneous and Heterogeneous DDBMSs
      • 24.2 Overview of Networking
      • 24.3 Functions and Architectures of a DDBMS
        • 24.3.1 Functions of a DDBMS
        • 24.3.2 Reference Architecture for a DDBMS
        • 24.3.3 Reference Architecture for a Federated MDBS
        • 24.3.4 Component Architecture for a DDBMS
      • 24.4 Distributed Relational Database Design
        • 24.4.1 Data Allocation
        • 24.4.2 Fragmentation


About the Author :
Thomas M. Connolly is the head of the Computing and Information Systems division at the University of Paisley.

Carolyn E. Begg is a lecturer at the University of Paisley, with research interests in Information Systems, Database Management Systems, and Decision Support Systems within medicine.


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Product Details
  • ISBN-13: 9780132948609
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Language: English
  • Sub Title: A Practical Approach to Design, Implementation, and Management
  • ISBN-10: 0132948605
  • Publisher Date: 28 Oct 2015
  • Binding: Digital download
  • No of Pages: 1440
  • Weight: 1 gr

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