PDF | Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both.
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- Developing High Quality Data Models
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- Developing High Quality Data Models by Matthew West
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Developing High Quality Data Models
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Developing high quality data models Author: English View all editions and formats Summary: Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models.
Part 4 provides the full data model that has been in development throughout the book.
This book was designed for all types of modelers: Machine Learning in Python. Introduction to Information Retrieval.
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Developing High Quality Data Models by Matthew West
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