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Beginning Relational Data Modeling
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Artikel-Nr:
9781590594636
Veröffentl:
2005
Erscheinungsdatum:
25.03.2005
Seiten:
632
Autor:
Sharon Lee Allen
Gewicht:
971 g
Format:
240x177x32 mm
Sprache:
Englisch
Beschreibung:
Sharon Allen has worked in the field of data analysis for 24 years: 10 as a business consumer of data and 14 as a data/database modeler/architect. She has had the opportunity to experience many diverse industries medical, aerospace, entertainment (Hollywood), manufacturing (toys, appliances, wet chemicals, metal part & assemblies), transportation, and food service and is currently working for American Honda Motors as a database architect. She plans to finish a master's degree in computer science and possibly teach at a local college.
*Immediately accessible to anyone who must design a relational data model-regardless of prior experience
*Concise, straightforward explanations to a usually complex/ jargon-rich discipline
*Examples are based on extensive author experience modeling for real business systems
Curlingstone
Data storage design, and awareness of how data needs to be utilized within an organization, is of prime importance in ensuring that company data systems work efficiently. Beginning Relational Data Modeling will lead you step by step through the process of developing an effective logical data model for your relational database model.
Chapter 1: Data Modeling: An Overview
Chapter 2: Relational Modeling
Chapter 3: Introduction to Relational Theory
Chapter 4: Level of Analysis
Chapter 5: How Data Models Fit into Projects
Chapter 6: Building a Conceptual Model
Chapter 7: Building a Logical Model
Chapter 8: Transformation - Logical to Physical
Chapter 9: Designing Only a Physical Model
Chapter 10: Dimensional Data Modeling
Chapter 11: Reverse Enigneering a Data Model
Chapter 12: Communication with the Model
Chapter 13: Further Data Analysis
Chapter 14: Meta Data Modeling
Chapter 15: Data Modeling Working Practices
App A:Glossary Of Terms
App B: Symbology Comparison
App C: References
Chapter 2: Relational Modeling
Chapter 3: Introduction to Relational Theory
Chapter 4: Level of Analysis
Chapter 5: How Data Models Fit into Projects
Chapter 6: Building a Conceptual Model
Chapter 7: Building a Logical Model
Chapter 8: Transformation - Logical to Physical
Chapter 9: Designing Only a Physical Model
Chapter 10: Dimensional Data Modeling
Chapter 11: Reverse Enigneering a Data Model
Chapter 12: Communication with the Model
Chapter 13: Further Data Analysis
Chapter 14: Meta Data Modeling
Chapter 15: Data Modeling Working Practices
App A:Glossary Of Terms
App B: Symbology Comparison
App C: References