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 | INFORMATION MODELING AND RELATIONAL DATABASES
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Second Edition
By
Terry Halpin, Neumont University, Utah
Tony Morgan, Neumont University, Utah
Description
Information Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In
fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge
from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases:
systems analysts, information modelers, database designers and administrators, and programmers.
Terry Halpin, a pioneer in the development
of ORM, blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported
by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based
ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique
that is proving vital to the development of accurate and efficient databases that best meet real business objectives.
Audience
The audience is the same as for the first edition: data modelers, database designers, information architects, and practitioners/managers in data management.
Contents
1 Introduction
1.1 Information Modeling
1.2 Modeling Approaches
1.3 Some Historical Background
1.4 The Relevant Skills
1.5 Summary
2 Information Levels and Frameworks
2.1 Four Information Levels
2.2 The Conceptual Level
2.3 Database
Design Example
2.4 Development Frameworks
2.5 Summary
3 Conceptual Modeling: First Steps
3.1 Conceptual Modeling Language
Criteria
3.2 Conceptual Schema Design Procedure
3.3 CSDP Step 1: From Examples to Elementary Facts
3.4 CSDP Step 2: Draw
Fact Types, and Populate
3.5 CSDP Step 3: Trim Schema; Note Basic Derivations
3.6 Summary
4 Uniqueness Constraints
4.1
CSDP Step 4: Uniqueness Constraints; Arity Check
4.2 Uniqueness Constraints on Unaries and Binaries
4.3 Uniqueness Constraints
on Longer Fact Types
4.4 External Uniqueness Constraints
4.5 Key Length Check
4.6 Projections and Joins
4.7 Summary
5 Mandatory Roles
5.1 Introduction to CSDP Step 5
5.2 Mandatory and Optional Roles
5.3 Reference Schemes
5.4 Case Study:
A Compact Disc Retailer
5.5 Logical Derivation Check
5.6 Summary
6 Value, Set-Comparison and Subtype Constraints
6.1
CSDP Step 6: Value, Set-Comparison and Subtype constraints
6.2 Basic Set Theory
6.3 Value Constraints and Independent Objects
6.4 Subset, Equality, and Exclusion Constraints
6.5 Subtyping
6.6 Generalization of Object Types
6.7 Summary
7 Other
Constraints and Final Checks
7.1 CSDP Step 7: Other Constraints and Final Checks
7.2 Occurrence Frequencies
7.3 Ring Constraints
7.4 Other Constraints and Rules
7.5 Final Checks
7.6 Summary
8 Entity Relationship Modeling
8.1 Overview of ER
8.2 Barker
notation
8.3 Information Engineering notation
8.4 IDEF1X
8.5 Mapping from ORM to ER
8.6 Summary
9 Data Modeling in UML
9.1 Introduction
9.2 Object-Orientation
9.3 Attributes
9.4 Associations
9.5 Set-Comparison constraints
9.6 Subtyping
9.7 Other Constraints and Derivation
Rules
9.8 Mapping from ORM to UML
9.9 Summary
10 Advanced Modeling Issues
10.1 Join Constraints
10.2 Deontic Rules
10.3 Temporality
10.4 Collection Types
10.5 Nominalization and Objectification
10.6 Open/Closed World Semantics
10.7 Higher-Order Types
10.8 Summary
11 Relational Mapping
11.1 Implementing a Conceptual Schema
11.2 Relational Schemas
11.3 Relational Mapping Procedure
11.4 Advanced Mapping Aspects
11.5 Summary
12 Data Manipulation with Relational Languages
12.1 Relational Algebra
12.2
Relational Database Systems
12.3 SQL: Historical and Structural Overview
12.4 SQL: Identifiers and Data Types
12.5 SQL: Choosing
Columns, Rows, and Order
12.6 SQL: Joins
12.7 SQL: In, Between, Like, and Null Operators
12.8 SQL: Union and Simple Subqueries
12.9 SQL: Scalar Operators and Bag Functions
12.10 SQL: Grouping
12.11 SQL: Correlated and Existential Subqueries
12.12 SQL:
Recursive Queries
12.13 SQL: Updating Table Populations
12.14 SQL: Other Useful Constructs
12.15 Summary
13 Using Other Database
Objects
13.1 SQL: Data Definition
13.2 SQL: User Defined Functions
13.3 SQL: Views and Computed Columns
13.4 SQL: Triggers
13.5 SQL:
Stored Procedures
13.6 SQL: Indexes
13.7 Other Objects
13.8 Exploiting 3GLs
13.9 Exploiting XML
13.10 Security and Meta-Data
13.11 Concurrency
13.12 Summary
14 Schema Transformations
14.1 Schema Equivalence and Optimization
14.2 Predicate Specialization and Generalization
14.3 Nesting, Coreferencing, and Flattening
14.4 Other Transformations
14.5 Conceptual Schema Optimization
14.6 Normalization
14.7 Denormalization
and Low Level Optimization
14.8 Reengineering
14.9 Data Migration and Query Transformation
14.10 Summary
15 Process and State Modeling
15.1 Introduction
15.2 Processes and Workflow
15.3 Foundations for Process Theory
15.4 State Models versus Process Models
15.5 Modeling
Information Dynamics in UML
15.6 Standard Process Patterns
15.7 Business Process Standards Initiatives
15.8 Integration of Process Models
and Information Models
15.9 Summary
16 Other Modeling Aspects and Trends
16.1 Introduction
16.2 Data Warehousing and OLAP
16.3 Conceptual Query Languages
16.4 Schema Abstraction Mechanisms
16.5 Further Design Aspects
16.6 Ontologies and the Semantic
Web
16.7 Post-Relational Databases
16.8 Metamodeling
16.9 Summary
ORM glossary (ORM 1 and ORM 2)
ER glossary
UML glossary
Bibliography
Index
| Bibliographic details |
Hardbound, 976 pages, publication date: MAR-2008
ISBN-13: 978-0-12-373568-3
ISBN-10: 0-12-373568-8
Imprint: MORGAN KAUFFMAN
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| Price and Ordering |
Price:
EUR 53.95 USD 74.95 GBP 44.99
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Last update: 25 Nov 2009
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