Data Modeling Made Simple: With CA Erwin Data Modeler R8

Data Modeling Made Simple with CA ERwin Data Modeler r8 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 CA ERwin Data Modeler r8. Youll build many CA ERwin data models along the way mastering first the fundamentals and later in the book the more advanced features of CA ERwin Data Modeler. This book combines real-world experience and best practices with down to earth advice humor and even cartoons to help you master the following ten objectives: 1. Understand the basics of data modeling and relational theory and how to apply these skills using CA ERwin Data Modeler 2. Read a data model of any size and complexity with the same confidence as reading a book 3. Understand the difference between conceptual logical and physical models and how to effectively build these models using CA ERwins Data Modelers Design Layer Architecture 4. Apply techniques to turn a logical data model into an efficient physical design and vice-versa through forward and reverse engineering for both top down and bottom-up design 5. Learn how to create reusable domains naming standards UDPs and model templates in CA ERwin Data Modeler to reduce modeling time improve data quality and increase enterprise consistency 6. Share data model information with various audiences using model formatting and layout techniques reporting and metadata exchange 7. Use the new workspace customization features in CA ERwin Data Modeler r8 to create a workflow suited to your own individual needs 8. Leverage the new Bulk Editing features in CA ERwin Data Modeler r8 for mass metadata updates as well as import/export with Microsoft Excel 9. Compare and merge model changes using CA ERwin Data Modelers Complete Compare features 10. Optimize the organization and layout of your data models through the use of Subject Areas Diagrams Display Themes and more Section I provides an overview of data modeling: what it is and why it is needed. The basic features of CA ERwin Data Modeler are introduced with a simple easy-to-follow example.Section II introduces the basic building blocks of a data model including entities relationships keys and more. How-to examples using CA ERwin Data Modeler are provided for each of these building blocks as well as real world scenarios for context.Section III covers the creation of reusable standards and their importance in the organization. From standard data modeling constructs such as domains to CA ERwin-specific features such as UDPs this section covers step-by-step examples of how to create these standards in CA ERwin Data Modeling from creation to template building to sharing standards with end users through reporting and queries.Section IV discusses conceptual logical and physical data models and provides a comprehensive case study using CA ERwin Data Modeler to show the interrelationships between these models using CA ERwins Design Layer Architecture. Real world examples are provided from requirements gathering to working with business sponsors to the hands-on nitty-gritty details of building conceptual logical and physical data models with CA ERwin Data Modeler r8. From the Foreword by Tom Bilcze President CA Technologies Modeling Global User Community: Data Modeling Made Simple with CA ERwin Data Modeler r8 is an excellent resource for the ERwin community. The data modeling community is a diverse collection of data professionals with many perspectives of data modeling and different levels of skill and experience. Steve Hoberman and Donna Burbank guide newbie modelers through the basics of data modeling and CA ERwin r8. Through the liberal use of illustrations the inexperienced data modeler is graphically walked through the components of data models and how to create them in CA ERwin r8.As an experienced data modeler Steve and Donna give me a handbook for effectively using the new and enhanced features of this release to bring my art form to life. The book delves into advanced modeling topics and techniques by continuing the liberal use of illustrations. It speaks to the importance of a defined data modeling architecture with soundly modeled data to assist the enterprise in understanding of the value of data. It guides me in applying the finishing touches to my data designs.