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Database Systems: An Application-Oriented Approach, Introductory Version, 2nd edition

  • Michael Kifer
  • Arthur Bernstein
  • Philip M. Lewis

Published by Pearson (March 30th 2004) - Copyright © 2005

2nd edition

Database Systems: An Application-Oriented Approach, Introductory Version

ISBN-13: 9780321228383

Includes: Paperback
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$138.66 $173.32

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  • Paperback

    You'll get a bound printed text.


This book presents the conceptual principles underlying the design and implementation of databases and their applications by providing a solid foundation of the theory underlying database systems. KEY TOPICS: This book takes an applications-oriented approach to database concepts and covers topics including; ER Modeling, UML, XML, object-oriented databases, SQL, database tuning, and the important software issues that arise when implementing database applications. MARKET: This book is appropriate for programmers who want to understand database system concepts and how they apply to real-world databases.

Table of contents

(Each Chapter, excluding chaper 1, concludes with “Bibliographic Notes” and “Exercises.”)



1. Overview of Databases and Transactions.

What Are Databases and Transactions?

Features of Modern Database and Transaction Processing Systems.

Major Players in the Implementation and Support of Database and Transaction Processing Systems.

Decision Support Systems OLAP and OLTP.
2. The Big Picture.

Case Study: A Student Registration System.

Introduction to Relational Databases.

What Makes a Program a Transaction—The Acid Properties.


3. The Relational Data Model.

What is a Data Model?

The Relational Model.

SQL— Data Definition Sublanguage.
4. Conceptual Modeling of Databses with Entity-Relationship Diagrams and the Unified Modeling Language.

Conceptual Modeling with the E-R Approach.

Entities and Entity Types.

Relationships and Relationship Types.

Advanced Features in Conceptual Data Modeling.

From E-R Diagrams to Relational Database Schemas.

UML: A New Kid on the Block.

A Brokerage Firm Example.

Case Study: A Database Design for the Student Registration System.

Limitations of Data Modeling Methodologies.
5. Relational Algebra and SQL.

Relational Algebra: Under the Hood of SQL.

The Query Sublanguage of SQL.

Modifying Relation Instances in SQL.
6. Database Design with The Relational Normalization Theory.

The Problem of Redundancy.


Functional Dependencies.

Properties of Functional Dependencies.

Normal Forms.

Properties of Decompositions.

An Algorithm for BCNF Decomposition.

Synthesis of 3NF Schemas.

The Fourth Normal Form.

Advanced 4NF Design.

Summary of Normal Form Decomposition.

Case Study: Schema Refinement for the Student Registration System.

Tuning Issues: To Decompose or Not to Decompose?

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