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Registro Completo |
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Biblioteca(s): |
Ebooks. |
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Data corrente: |
07/01/2011 |
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Data da última atualização: |
16/06/2011 |
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Autoria: |
HALPIN, T. A.; MORGAN, T. |
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Afiliação: |
T. A. Halpin; Tony Morgan. |
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Título: |
Information modeling and relational databases |
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Edição: |
2nd ed. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Burlington, MA: Morgan Kaufmann Publishers, c2008. |
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Páginas: |
xxvi, 943 p. : |
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Descrição Física: |
ill. ;25 cm. |
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Série: |
Morgan Kaufmann series in data management systems |
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ISBN: |
9780123735683 |
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Idioma: |
Inglês |
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Conteúdo: |
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.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. Menos1 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... Mostrar Tudo |
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Palavras-Chave: |
Database design; Relational databases. |
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Categoria do assunto: |
-- |
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URL: |
https://www.sciencedirect.com/science/book/9780123735683
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Marc: |
LEADER 07384nam a2200193 a 4500
001 1872214
005 2011-06-16
008 2008 bl uuuu u0uu1 u #d
020 $a9780123735683
100 1 $aHALPIN, T. A.
245 $aInformation modeling and relational databases$h[electronic resource]
250 $a2nd ed.
260 $aBurlington, MA: Morgan Kaufmann Publishers$c2008
300 $axxvi, 943 p. :$cill. ;25 cm.
490 $aMorgan Kaufmann series in data management systems
520 $a1 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.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.
653 $aDatabase design
653 $aRelational databases
700 1 $aMORGAN, T.
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