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Data Modeling and Database Design

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ISBN-10: 1423900839

ISBN-13: 9781423900832

Edition: 2008

Authors: Richard W. Scamell, Narayan S. Umanath

List price: $252.95
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Principles of Data Modeling and Database Design presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that person takes only one database course. Data modeling and database design encompass the minimal set of topics with which students should be comfortable. The text, rich examples, and figures work together to cover material with a depth and precision that is not available in database books oriented toward broad coverage of a wide variety of topics.
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Book details

List price: $252.95
Copyright year: 2008
Publisher: Course Technology
Publication date: 1/17/2007
Binding: Hardcover
Pages: 720
Size: 7.50" wide x 9.25" long x 1.25" tall
Weight: 2.750

Preface
Database Systems: Architecture and Components
Data, Information, and Metadata
Data Management
Limitations of File-Processing Systems
The ANSI/SPARC Three-Schema Architecture
Characteristics of Database Systems
What Is a Database System?
What Is a Database Management System?
Advantages of Database Systems
Data Models
Data Models and Database Design
The Database Design Life Cycle
Chapter Summary
Exercises
Selected Bibliography
Conceptual Data Modeling
Foundation Concepts
A Conceptual Modeling Framework
ER Modeling Primitives
Foundations of the ER Modeling Grammar
Entity Types and Attributes
Entity and Attribute-Level Data Integrity Constraints
Relationship Types
Structural Constraints of a Relationship Type
Base Entity Types and Weak Entity Types
Data Modeling Errors
Vignette 1
Vignette 2
Vignette 3
Chapter Summary
Exercises
Selected Bibliography
Entity-Relationship Modeling
Bearcat Incorporated: A Case Study
Applying the ER Modeling Grammar to the Conceptual Modeling Process
The Presentation Layer ER Model
The Presentation Layer ER Model for Bearcat Incorporated
The Coarse-Granular Design-Specific ER Model
The Fine-granular Design-Specific ER Model
Chapter Summary
Exercises
Selected Bibliography
Enhanced Entity-Relationship (EER) Modeling
Superclass/subclass Relationship
Vignette 1
A Motivating Exemplar
General Properties of a Superclass/subclass Relationship
Specialization and Generalization
Specialization Hierarchy and Specialization Lattice
Categorization
Choosing the Appropriate EER Construct
Aggregation
Converting from the Presentation Layer to a Design-Specific EER Diagram
Bearcat Incorporated Data Requirements Revisited
ER Model for the Revised Story
Chapter Summary
Exercises
Selected Bibliography
Modeling Complex Relationships
The Ternary Relationship Type
Vignette 1-Madeira College
Vignette 2-Get Well Pharmacists, Inc.
Beyond the Ternary Relationship Type
The Case for a Cluster Entity Type
Vignette 3-More on Madeira College
Vignette 4-A More Complex Entity Clustering
Cluster Entity Type-Additional Examples
Madeira College-The Rest of the Story
Clustering a Recursive Relationship Type
The Weak Relationship Type
Composites of Weak Relationship Types
Inclusion Dependency in Composite Relationship Types
Exclusion Dependency in Composites of Weak Relationship Types
Decomposition of Complex Relationship Constructs
Decomposing Ternary and Higher-Order Relationship Types
Decomposing a Relationship Type with a Multi-valued Attribute
Decomposing a Cluster Entity Type
Decomposing a Weak Relationship Type
Validation of the Conceptual Design
Fan Trap
Chasm Trap
Miscellaneous Semantic Traps
Cougar Medical Associates
Conceptual Model for CMA: The Genesis
Conceptual Model for CMA: The Next Generation
The Design-Specific ER Model for CMA: The Final Frontier
Chapter Summary
Exercises
Selected Bibliography
Logical Data Modeling
The Relational Data Model
Definition
Characteristics of a Relation
Data Integrity Constraints
The Concept of Unique Identifiers
Referential Integrity Constraint in the Relational Data Model
A Brief Introduction to Relational Algebra
Unary Operations: Selection ([sigma]) and Projection ([pi])
Binary Operations: Union (U), Difference (-), and Intersection ([Characters not reproducible])
The Natural Join (*) Operation
Views and Materialized Views in the Relational Data Model
The Issue of Information Preservation
Mapping an ER Model to a Logical Schema
Information-Reducing Mapping of ER Constructs
An Information-Preserving Mapping
Mapping Enhanced ER Model Constructs to a Logical Schema
Information-Reducing Mapping of EER Constructs
Information-Preserving Grammar for Enhanced ER Modeling Constructs
Chapter Summary
Exercises
Selected Bibliography
Normalization
Functional Dependencies
A Motivating Exemplar
Functional Dependencies
Definition of Functional Dependency
Inference Rules for Functional Dependencies
Minimal Cover for a Set of Functional Dependencies
Closure of a Set of Attributes
Whence Do FDs Arise?
Candidate Keys Revisited
Deriving Candidate Key(s) by Synthesis
Deriving Candidate Keys by Decomposition
Deriving a Candidate Key-Another Example
Prime and Non-prime Attributes
Chapter Summary
Exercises
Selected Bibliography
Normal Forms Based on Functional Dependencies
Normalization
First Normal Form (1NF)
Second Normal Form (2NF)
Third Normal Form (3NF)
Boyce-Codd Normal Form (BCNF)
Side Effects of Normalization
Summary Notes on Normal Forms
The Motivating Exemplar Revisited
A Comprehensive Approach to Normalization
Case 1
Case 2
Case 3
Denormalization
Role of Reverse Engineering in Data Modeling
Reverse Engineering the Normalized Solution of Case 1
Reverse Engineering the Normalized Solution of Case 2
Reverse Engineering the Normalized Solution of Case 3
Chapter Summary
Exercises
Selected Bibliography
Higher Normal Forms
Multi-valued Dependency
A Motivating Exemplar for Multi-valued Dependency
Multi-valued Dependency Defined
Inference Rules for Multi-valued Dependencies
Fourth Normal Form (4NF)
Resolution of a 4NF Violation-A Comprehensive Example
Generality of Multi-valued Dependencies and 4NF
Join Dependencies and Fifth Normal Form (5NF)
A Note on Domain-Key Normal Form (DK/NF)
Chapter Summary
Exercises
Selected Bibliography
Database Implementation Using the Relational Data Model
Database Creation
Data Definition Using SQL
Base Table Specification in SQL/DDL
Specification of User-Defined Domains
Schema and Catalog Concepts in SQL/DDL
Data Population Using SQL
The Insert Statement
The Delete Statement
The Update Statement
Access Control in the SQL-92 Standard
The Grant and Revoke Statements
Some Examples of Granting and Revoking Privileges
Chapter Summary
Exercises
Selected Bibliography
Data Manipulation: Relational Algebra and SQL
Relational Algebra
Unary Operators
Binary Operators
Structured Query Language (SQL)
SQL Queries Based on a Single Table
SQL Queries Based on Binary Operators
Subqueries
Chapter Summary
Exercises
SQL Projects
Selected Bibliography
Advanced Data Manipulation Using SQL
Assertions, Triggers, and Views
Specifying an Assertion in SQL
Triggers in SQL
Specifying Views in SQL/DDL
The Division Operation
SQL-92 Built-in Functions
The Substring Function
The Char_Length (char) Function
The Trim Function
The Translate Function
The Position Function
Combining the INSTR and SUBSTR Functions
Some Brief Comments on Handling Dates and Times
A Potpourri of Other SQL Queries
Concluding Example 1
Concluding Example 2
Concluding Example 3
Concluding Example 4
Concluding Example 5
Concluding Example 6
Chapter Summary
Exercises
Selected Bibliography
Data Modeling Architectures Based on the Inverted Tree and Network Data Structures
Logical Data Structures
Inverted Tree Structure
Network Data Structure
Logical Data Model Architectures
Hierarchical Data Model
CODASYL Data Model
Summary
Selected Bibliography
Object-Oriented Data Modeling Architectures
The Object-Oriented Data Model
Overview of OO Concepts
A Note on UML
The Object-Relational Data Model
Summary
Selected Bibliography
Overview of SQL Reserved Words
SQL Select Statement Features
Index