I'm a student
I'm an educator
Request full copy

Database Systems: A Practical Approach to Design, Implementation, and Management, 6th edition

Published by Unknown (January 8, 2014) © 2015

  • Thomas Connolly University of Paisley
  • Carolyn Begg Paisley University

eTextbook

per month

  • Anytime, anywhere learning with the Pearson+ app
  • Easy-to-use search, navigation and notebook
  • Simpler studying with flashcards
$197.32

  • Hardcover, paperback or looseleaf edition
  • Affordable rental option for select titles
  • Free shipping on looseleafs and traditional textbooks

This book 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.

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

Hallmark features of this title

Ideal for both technical and non-technical readers

  • Database design methodology is divided into 3 phases based on the Entity—Relationship model: conceptual, logical, and physical. Each phase is described in a separate chapter with an integrated case study of the methodology working in practice.
  • An easy-to-use, step-by-step methodology for each phase offers the inexperienced designer steps and guidelines to help with this process. For the experienced designer, the methodology can act more as a framework or checklist.
  • Physical database design coverage shows the mapping of the logical design to a physical implementation, the selection of file organizations and indexes appropriate for the applications, and when to introduce controlled redundancy. The integrated case study shows how to use the methodology.
  • Separate chapters show how database design fits into the overall database systems development lifecycle, how fact-finding techniques can be used to identify the system requirements, and how UML fits into the methodology.

Easy-to-understand presentation supports learning and retention

  • Definitions are highlighted clearly, chapter objectives are stated succinctly and chapters are summarized completely.
  • Numerous practical, worked examples and diagrams throughout each chapter illustrate the main concepts.
  • Instructor Resources, available on the Pearson Instructor Resource Center, include:

Comprehensive introduction to the theory behind databases

  • Extensive treatment of the latest formal and de facto standards: Structured Query Language (SQL), Query-By-Example (QBE), and the Object Data Management Group (ODMG) standard for object-oriented databases.
  • Extensive treatment of SQL in 3 tutorial style chapters, covering both interactive and embedded SQL.
  • A chapter on legal, professional and ethical issues related to IT and databases.
  • Comprehensive coverage of the concepts and issues relating to distributed DBMSs and replication servers.
  • Comprehensive introduction to the concepts and issues relating to object-based DBMSs including a review of the ODMG standard and a tutorial on the object management facilities within the latest release of the SQL standard, SQL:2011.
  • Extensive treatment of the Web as a platform for database applications with many code samples of accessing databases on the Web. In particular, we cover persistence through Container-Managed Persistence (CMP), Java Data Objects (JDO), Java Persistence API ( JPA), JDBC, SQLJ, ActiveX Data Objects (ADO), ADO.NET, and Oracle PL/SQL Pages (PSP).
  • An introduction to semistructured data and its relationship to XML and extensive coverage of XML and its related technologies (XML Schema, XQuery, and the XQuery Data Model and Formal Semantics). Additional content covers the integration of XML into databases and examine the extensions added to SQL:2003, SQL:2008, and SQL:2011 to enable the publication of XML.
  • Comprehensive introduction to data warehousing, Online Analytical Processing (OLAP), and data mining.
  • Comprehensive introduction to dimensionality modeling for designing a data warehouse database. An integrated case study is used to demonstrate a methodology for data warehouse database design.
  • Coverage of DBMS system implementation concepts, including concurrency and recovery control, security, and query processing and query optimization.
 

A Comprehensive Introduction to the Theory behind Databases

  • Extended chapter on database architectures and the Web, covering cloud computing
  • New Section on Data Warehousing and Temporal Databases
  • Updated treatment to cover the latest version of the SQL standard, which was released late 2011 (SQL:2011)
  • Extended chapter on replication and mobile databases
  • Updated chapters on Web-DBMS integration and XML
  • Extended treatment of XML, SPARQL, XQuery 1.0 and XPath 2.0 (including the new XQuery Update facility), and the new SQL:2011 SQL/XML standard
  • Coverage updated to Oracle 11g

A Clear Introduction to the Theory behind Databases

  • New review questions and exercises at the end of chapters allow readers to test their understanding

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
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.

Need help? Get in touch

Pearson+

All in one place. Pearson+ offers instant access to eTextbooks, videos and study tools in one intuitive interface. Students choose how they learn best with enhanced search, audio and flashcards. The Pearson+ app lets them read where life takes them, no wi-fi needed. Students can access Pearson+ through a subscription or their MyLab or Mastering course.

Video
Play
Privacy and cookies
By watching, you agree Pearson can share your viewership data for marketing and analytics for one year, revocable by deleting your cookies.

Video transcript (PDF | 16KB) 

Pearson eTextbook: What’s on the inside just might surprise you

They say you can’t judge a book by its cover. It’s the same with your students. Meet each one right where they are with an engaging, interactive, personalized learning experience that goes beyond the textbook to fit any schedule, any budget, and any lifestyle. 

Digital Learning NOW

Extend your professional development and meet your students where they are with free weekly Digital Learning NOW webinars. Attend live, watch on-demand, or listen at your leisure to expand your teaching strategies. Earn digital professional development badges for attending a live session.

Explore webinars