Information Modeling and Relational Databases - 2nd Edition - ISBN: 9780123735683, 9780080568737

Information Modeling and Relational Databases

2nd Edition

Authors: Terry Halpin Tony Morgan
Hardcover ISBN: 9780123735683
eBook ISBN: 9780080568737
Imprint: Morgan Kaufmann
Published Date: 3rd March 2008
Page Count: 976
Tax/VAT will be calculated at check-out
65.95
86.95
80.95
52.99
Unavailable
Compatible Not compatible
VitalSource PC, Mac, iPhone & iPad Amazon Kindle eReader
ePub & PDF Apple & PC desktop. Mobile devices (Apple & Android) Amazon Kindle eReader
Mobi Amazon Kindle eReader Anything else

Institutional Access


Table of 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


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.

Key Features

  • Presents the most indepth coverage of Object-Role Modeling available anywhere, including a thorough update of the book for ORM2, as well as UML2 and E-R (Entity-Relationship) modeling.
  • Includes clear coverage of relational database concepts, and the latest developments in SQL and XML, including a new chapter on the impact of XML on information modeling, exchange and transformation.
  • New and improved case studies and exercises are provided for many topics.

Readership

The audience is the same as for the first edition: data modelers, database designers, information architects, and practitioners/managers in data management.


Details

No. of pages:
976
Language:
English
Copyright:
© Morgan Kaufmann 2008
Published:
Imprint:
Morgan Kaufmann
eBook ISBN:
9780080568737
Hardcover ISBN:
9780123735683

Reviews

This book is an excellent introduction to both information modeling in ORM and relational databases. The book is very clearly written in a step-by-step manner, and contains an abundance of well-chosen examples illuminating practice and theory in information modeling. I strongly recommend this book to anyone interested in conceptual modeling and databases. Dr. Herman Balsters, Director of the Faculty of Industrial Engineering, University of Groningen, The Netherlands


About the Authors

Terry Halpin Author

Dr. Terry Halpin is a professor at Northface University. He has led database research teams at several companies including Visio Corporation and Microsoft Corporation, where he worked on the conceptual and logical database modeling technology in Microsoft Visio for Enterprise Architects. His publications include over 100 technical papers and five books.

Affiliations and Expertise

Neumont University, Utah

Tony Morgan Author

Affiliations and Expertise

Neumont University, Utah