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Köp båda 2 för 922 kr"This guide to developing high quality data models provides practical instruction in understanding the core principle of data modeling and creating accurate models from complex databases. The work is divided into four sections covering the basics of data model types and uses, general principles for data model components and an ontological framework for consistent data models. A final section presents a complete, standards compliant data model created with the Jotne EPM Technology EDMVisusalExpress data modeling tool. Numerous illustrations, charts and sample programming code are included throughout the work and access to additional online content, including the sample data model, is provided. West is an experienced data modeler working in the energy field."--Book News, Reference & Research
Matthew West spent over 20 years as a leading data modeler for Shell where he was a key technical contributor to data modeling and data management standards and their application. Matthew was responsible for Shell's Downstream Data Model. He currently serves as the Director of Information Junction, a data architecture and analysis consultancy in the UK. He is also a key contributor to ISO 15926 (Lifecycle integration of process data) and ISO 8000 (Data and Information Quality). Matthew is a Visiting Professor at the University of Leeds
Chapter 1: What are Data Models For?
Chapter 2: Different Sorts of Data Models
Chapter 3: Languages and Notations for Data and Data Models
Chapter 4: Layout of Data Models
Chapter 5: Reviewing and Improving Data Models
Chapter 6: High Quality Data Models
Chapter 7: Principles for Data Models
Chapter 8: A Generic Framework for a Changing World
Chapter 9: Integration of Data Models
Chapter 10: Future Directions