Information Modeling and Relational Databases

ISBN-10: 0123735688

ISBN-13: 9780123735683

Edition: 2nd 2008

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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. *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. * The book's associated web site provides answers to exercises, appendices, advanced SQL queries, and links to downloadable ORM tools.
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Book details

List price: $89.95
Edition: 2nd
Copyright year: 2008
Publisher: Elsevier Science & Technology Books
Publication date: 3/3/2008
Binding: Hardcover
Pages: 976
Size: 7.50" wide x 9.50" long x 1.50" tall
Weight: 3.740
Language: English

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.

Information Modeling
Modeling Approaches
Some Historical Background
The Relevant Skills
Information Levels and Frameworks
Four Information Levels
The Conceptual Level
Database Design Example
Development Frameworks
Conceptual Modeling: First Steps
Conceptual Modeling Language Criteria
Conceptual Schema Design Procedure
CSDP Step 1: From Examples to Elementary Facts
CSDP Step 2: Draw Fact Types, and Populate
CSDP Step 3: Trim Schema
Note Basic Derivations
Uniqueness Constraints
Arity Check
Mandatory Roles
Introduction to CSDP Step 5
Mandatory and Optional Roles
Reference Schemes
Case Study: A Compact Disc Retailer
Logical Derivation Check
Value, Set-Comparison and Subtype Constraints
CSDP Step 6: Value, Set-Comparison and Subtype constraints
Basic Set Theory
Value Constraints and Independent Objects
Subset, Equality, and Exclusion Constraints
Generalization of Object Types
Other Constraints and Final Checks
CSDP Step 7: Other Constraints and Final Checks
Occurrence Frequencies
Ring Constraints
Other Constraints and Rules
Final Checks
Entity Relationship Modeling
Overview of ER
Barker notation
Information Engineering notation
Mapping from ORM to ER
Data Modeling in UML
Set-Comparison constraints
Other Constraints and Derivation Rules
Mapping from ORM to UML
Advanced Modeling Issues
Join Constraints
Deontic Rules
Collection Types
Nominalization and Objectification
Open/Closed World Semantics
Higher-Order Types
Relational Mapping
Implementing a Conceptual Schema
Relational Schemas
Relational Mapping Procedure
Advanced Mapping Aspects
Data Manipulation with Relational Languages
Relational Algebra
Relational Database Systems
SQL: Historical and Structural Overview
SQL: Identifiers and Data Types
SQL: Choosing Columns, Rows, and Order
SQL: Joins
SQL: In, Between, Like, and Null Operators
SQL: Union and Simple Subqueries
SQL: Scalar Operators and Bag Functions
SQL: Grouping
SQL: Correlated and Existential Subqueries
SQL: Recursive Queries
SQL: Updating Table Populations
SQL: Other Useful Constructs
Using Other Database Objects
SQL: Data Definition
SQL: User Defined Functions
SQL: Views and Computed Columns
SQL: Triggers
SQL: Stored Procedures
SQL: Indexes
Other Objects
Exploiting 3GLs
Exploiting XML
Security and Meta-Data
Schema Transformations
Schema Equivalence and Optimization
Predicate Specialization and Generalization
Nesting, Coreferencing, and Flattening
Other Transformations
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