Download Ebook Data Modeling Made Simple with ER/Studio Data ArchitectBy Steve Hoberman
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Data Modeling Made Simple with ER/Studio Data ArchitectBy Steve Hoberman
Download Ebook Data Modeling Made Simple with ER/Studio Data ArchitectBy Steve Hoberman
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Data Modeling Made Simple with ER/Studio Data Architect (DA) will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio DA. You'll build many ER/Studio DA data models along the way, applying best practices to master these ten objectives:
Section I introduces data modeling and the ER/Studio DA landscape. Learn why data modeling is so critical to software development and even more importantly, why data modeling is so critical to understanding the business. You will also learn about the ER/Studio DA environment. By the end of this section, you will have created and saved your first data model in ER/Studio DA and be ready to start modeling in Section II!
Section II explains all of the symbols and text on a data model, including entities, attributes, relationships, domains, and keys. By the time you finish this section, you will be able to 'read' a data model of any size or complexity, and create a complete data model in ER/Studio DA.
Section III explores the three different levels of models: conceptual, logical, and physical. A conceptual data model (CDM) represents a business need within a defined scope. The logical data model (LDM) represents a detailed business solution, capturing the business requirements without complicating the model with implementation concerns such as software and hardware. The physical data model (PDM) represents a detailed technical solution. The PDM is the logical data model compromised often to improve performance or usability. The PDM makes up for deficiencies in our technology. By the end of this section you will be able to create conceptual, logical, and physical data models in ER/Studio DA.
Section IV discusses additional features of ER/Studio DA. These features include data dictionary, data lineage, automating tasks, repository and portal, exporting and reporting, naming standards, and compare and merge functionality.
- Sales Rank: #1297755 in Books
- Published on: 2013-03-15
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x .64" w x 8.50" l, .0 pounds
- Binding: Paperback
- 475 pages
About the Author
Steve Hoberman is the most requested data modeling instructor in the world. Introduced at over 50 international conferences as everything from a "data modeling guru" to "data modeling rock star", Steve balances the formality and precision of data modeling with the realities of building software systems with severe time, budget, and people constraints. In his consulting and teaching, he focuses on templates, tools, and guidelines to reap the benefits of data modeling with minimal investment. He taught his first data modeling class in 1992 and has educated more than 10,000 people about data modeling and business intelligence techniques since then, spanning every continent except Africa and Antarctica. Steve is known for his entertaining, interactive teaching and lecture style (watch out for flying candy!), and organizations around the globe have brought Steve in to teach his Data Modeling Master Class, which is recognized as the most comprehensive data modeling course in the industry. Steve is the author of six books on data modeling, including the bestseller Data Modeling Made Simple. He is the founder of the Design Challenges group, inventor of the Data Model Scorecard®, Conference Chair of the Data Modeling Zone conference, and the recipient of the 2012 Data Administration Management Association (DAMA) International Professional Achievement Award.
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