Developing High Quality Data Models

Ebook Free Download | Developing High Quality Data Models | Developing precise definitions for anything is always a very difficult task and it is even more difficult when those definitions must be adaptable to new conditions and discoveries. The key to developing effective databases for dynamic data gathering and exploitation is the creation of models for the data that accurately represent what it is, what it will be used for and where the models can be both flexible and stable over time. These are complex issues and the forms of notation used in the development of high quality data models are not easy to understand. Fortunately for people that need to study and understand such things, West has written this book where the theory of creating data models is examined. Some experience with object-oriented programming is very helpful and probably essential in understanding the models as they are based on classes, sets, object inheritance and attributes. Experience with modeling methodologies such as the unified modeling language is also helpful, as there is a great deal about the principles for attributes, relationships and entities.
Data objects not only have relationships with each other, but those relationships and their very definition can change over time. West includes a great of coverage of spatio-temporal aspects of data modeling and how set theory can be modified into a form that allows for hierarchies and four-dimensional representations. These are hard topics that require some understanding of the mathematics of relations, set theory, labeled graph theory and functions. The last chapter of approximately 150 pages introduces the HQDM framework schema, a set of specifications for many types of objects. The notation used in the specifications is easy to understand if you are experienced in the topics already mentioned.

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