Inhaltsangabe
Data Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing. Notably, the U.S. Department of Defense is mandating that all of its agencies and contractors assume a defining presence on the Net-centric Global Information Grid. This book provides the first practical approach to data engineering and modeling, which supports interoperabililty with consumers of the data in a service- oriented architectures (S.O.As.). Although X.M.L. (eXtensible Modeling Language) is the lingua franca for such interoperability, it is not sufficient on its own. The approach in this book addresses critical objectives such as creating a single representation for multiple applications, designing models capable of supporting dynamic processes, and harmonizing legacy data models for web-based co-existence. The approach is based on the System Entity Structure (S.E.S.) which is a well-defined structure, methodology, and practical tool with all of the functionality of U.M.L. (Unified Modeling Language) and few of the drawbacks. The S.E.S. originated in the formal representation of hierarchical simulation models. So it provides an axiomatic formalism that enables automating the development of X.M.L. dtds and schemas, composition and decomposition of large data models, and analysis of commonality among structures.Zeigler and Hammond include a range of features to benefit their readers. Natural language, graphical and X.M.L. forms of S.E.S. specification are employed to allow mapping of legacy meta-data. Real world examples and case studies provide insight into data engineering and test evaluation in various application domains. Comparative information is provided on concepts of ontologies, modeling and simulation, introductory linguistic background, and support options enable programmers to work with advanced t
Reseña del editor
Data Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing. Notably, the U.S. Department of Defense is mandating that all of its agencies and contractors assume a defining presence on the Net-centric Global Information Grid. This book provides the first practical approach to data engineering and modeling, which supports interoperabililty with consumers of the data in a service- oriented architectures (S.O.As.). Although X.M.L. (eXtensible Modeling Language) is the lingua franca for such interoperability, it is not sufficient on its own. The approach in this book addresses critical objectives such as creating a single representation for multiple applications, designing models capable of supporting dynamic processes, and harmonizing legacy data models for web-based co-existence. The approach is based on the System Entity Structure (S.E.S.) which is a well-defined structure, methodology, and practical tool with all of the functionality of U.M.L. (Unified Modeling Language) and few of the drawbacks. The S.E.S. originated in the formal representation of hierarchical simulation models. So it provides an axiomatic formalism that enables automating the development of X.M.L. dtds and schemas, composition and decomposition of large data models, and analysis of commonality among structures.Zeigler and Hammond include a range of features to benefit their readers. Natural language, graphical and X.M.L. forms of S.E.S. specification are employed to allow mapping of legacy meta-data. Real world examples and case studies provide insight into data engineering and test evaluation in various application domains. Comparative information is provided on concepts of ontologies, modeling and simulation, introductory linguistic background, and support options enable programmers to work with advanced t
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