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Section I introduces data modeling, along with its purpose and variations.
Section II explains all of the components on a data model including entities, data elements, relationships, and keys. Also included is a discussion of the importance of quality names and definitions for your objects.
Section III explains the important role of data modeling tools, the key features required of any data modeling tool, and an introduction to the essential features of PowerDesigner. It also describes how to create and manage data modeling objects in PowerDesigner.
Section IV introduces the Data Model Pyramid, then dives into the relational and dimensional subject areas, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them.
Section V guides you through the creation of your own Data Model Pyramid.
Section VI focuses on additional PowerDesigner features (some of which have already been introduced) that make life easier for data modelers. Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard.
Section VII discusses PowerDesigner topics beyond data modeling, including the XML physical model and the other types of model available in PowerDesigner.
About George
George McGeachie has worked in the field of data modeling and metadata in a variety of industries for many years. George has evaluated, implemented, tailored and used various data modeling and metadata management tools during data modeling assignments around the globe. He is always regarded as a power user for whichever tool is in use, finding new ways of exploiting their capabilities.
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