Information modeling and relational databases [electronic resource]

목차 (Table of Contents)

• 자료제공 :
• 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