Information Modeling and Relational Databases, Third Edition, provides thorough coverage of information modeling approaches, including object-role modeling (ORM), entity-relationship (ER) modeling, and the unified modeling language (UML). It shows how to map models developed with those approaches to a variety of relational and nonrelational database systems, including document databases, column-oriented databases, graph databases, and deductive databases. Process and state modeling, ontological modeling, and metamodeling are also covered. For this new edition, the coverage of ORM, ER, UML,…mehr
Information Modeling and Relational Databases, Third Edition, provides thorough coverage of information modeling approaches, including object-role modeling (ORM), entity-relationship (ER) modeling, and the unified modeling language (UML). It shows how to map models developed with those approaches to a variety of relational and nonrelational database systems, including document databases, column-oriented databases, graph databases, and deductive databases. Process and state modeling, ontological modeling, and metamodeling are also covered. For this new edition, the coverage of ORM, ER, UML, SQL, OWL, and BPMN has been thoroughly updated to include their latest versions. A significant amount of new material has been added. Various data file formats such as CSV, XML, JSON, YAML, and some other markup languages are now covered, and a more thorough treatment is provided for nonrelational databases, especially NoSQL. One of the major features of the book is its large number of exercises, which have been thoroughly class-tested. This book is intended for anyone with a stake in the accuracy and efficacy of databases such as systems analysts, information modelers, database designers and administrators, and programmers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Terry Halpin, is a Principal Scientist at LogicBlox, headquartered in Atlanta, USA, and a Professor at INTI International University, Malaysia. After many years in academia, he worked on data modeling technology at Asymetrix Corporation, InfoModelers Inc., Visio Corporation, and Microsoft Corporation, before returning to academia as Distinguished Professor at Neumont University (Utah, USA), and then once again returning to industry at LogicBlox and also taking a professorship at INTI. His research focuses on conceptual modeling and conceptual query technology. Dr. Halpin is the recipient of the DAMA International Academic Achievement Award and the IFIP Outstanding Service Award. He is a member of IFIP WG 8.1 (Design and Evaluation of Information Systems), is an editor or reviewer for several academic journals and international program committees, has co-chaired several international workshops on modeling, and has presented at dozens of international conferences in both industry and academia. For many years, his research has focused on conceptual modeling and conceptual query technology for information systems, using a business rules approach. His doctoral thesis formalized Object-Role Modeling (ORM/NIAM), and his publications include over 160 technical papers, and six books, including Information Modeling and Relational Databases, Second Edition, Elsevier/Morgan Kaufmann.
Inhaltsangabe
1. Introduction 2. Information Levels and Frameworks 3. Conceptual Modeling: First Steps 4. Uniqueness Constraints 5. Mandatory Roles 6. Value, Set-Comparison, and Subtype Constraints 7. Other Constraints and Final Checks 8. Entity Relationship Modeling 9. Data Modeling in UML 10. Advanced Modeling Issues 11. Relational Mapping 12. Data Manipulation with Relational Languages 13. Using Other Database Objects 14. Schema Transformations 15. Process and State Modeling 16. Data Interchange 17. NoSQL Databases 18. Other Modeling Aspects and Trends
1. Introduction 2. Information Levels and Frameworks 3. Conceptual Modeling: First Steps 4. Uniqueness Constraints 5. Mandatory Roles 6. Value, Set-Comparison, and Subtype Constraints 7. Other Constraints and Final Checks 8. Entity Relationship Modeling 9. Data Modeling in UML 10. Advanced Modeling Issues 11. Relational Mapping 12. Data Manipulation with Relational Languages 13. Using Other Database Objects 14. Schema Transformations 15. Process and State Modeling 16. Data Interchange 17. NoSQL Databases 18. Other Modeling Aspects and Trends
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