Data Modeling Made Simple with PowerDesigner will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with PowerDesigner. You'll build many PowerDesigner data models along the way, increasing your skills first with the fundamentals and later with more advanced feature of PowerDesigner. This book combines real-world experience and best practices to help you master the following ten objectives:
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve is known for his ability to translate from business requirements to technical specifications. Steve is the author of nine books on data modeling, including the bestseller Data Modeling Made Simple. Steve is also the author of Blockchainopoly. One of Steve's frequent data modeling consulting assignments is to review BTMs using his Data Model Scorecard® technique. He is the creator of the Data Modeling Institute's Data Modeling Certification exam, Data Modeling Zone Conference Chair, lecturer at Columbia University, and recipient of the Data Administration Management Association International Professional Achievement Award.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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