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Information modeling and relational databases

Author: T A Halpin; Tony Morgan
Publisher: Burlington, MA : Morgan Kaufmann Publishers, ©2008.
Series: Morgan Kaufmann series in data management systems.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Halpin, T.A.
Information modeling and relational databases.
Burlington, MA : Morgan Kaufmann Publishers, ©2008
(OCoLC)191244946
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: T A Halpin; Tony Morgan
ISBN: 9780123735683 0123735688 0080568734 9780080568737
OCLC Number: 272382239
Description: 1 online resource (xxvi, 943 pages) : illustrations.
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. Information levels and frameworks --
Conceptual modeling : first steps --
Uniqueness constraints --
Mandatory roles --
Value, set-comparison, and subtype constraints --
Other constraints and final checks --
Entity relationship modeling --
Data modeling in UML --
Advanced modeling issues --
Relational mapping --
Data manipulation with relational languages --
Using other database objects --
Schema transformations --
Process and state modeling --
Other modeling aspects and trends.
Series Title: Morgan Kaufmann series in data management systems.
Responsibility: Terry Halpin, Tony Morgan.

Abstract:

Offers an introduction to ORM (Object-Role Modeling). This book includes coverage of relational database concepts, and developments in SQL and XML. It features case studies and exercises, and the  Read more...

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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 Read more...

 
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