Data Modeling Master Class Training Manual 2nd Edition: Steve Hoberman's Best Practices Approach to Understanding and Applying Fundamentals Through Advanced Modeling Techniques

Hoberman, Steve

ISBN 10: 1935504061 / ISBN 13: 9781935504061

Published by Technics Publications, LLC, 2010

About this Item

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Bibliographic Details

• Title: Data Modeling Master Class Training Manual 2nd Edition: Steve Hoberman's Best Practices Approach to Understanding and Applying Fundamentals Through Advanced Modeling Techniques
• Publisher: Technics Publications, LLC
• Publication Date: 2010
• Language: English
• ISBN 10: 1935504061
• ISBN 13: 9781935504061
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: very_good

About this title

Synopsis

This is the second edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com.

The Master Class is a complete course on requirements gathering and data modeling, containing four days of practical techniques for producing solid relational and dimensional data models. After learning the styles and steps in gathering and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard(r). You will learn not just how to build a data model, but also how to build a data model well. Challenging exercises and workshops will reinforce the material and enable you to apply these techniques in your current projects.

By the end of the course, you will know how to...

• Read a data model of any size and complexity
• Validate any data model with the Data Model Scorecard(r)
• Build relational and dimensional subject area, logical, and physical data models
• Use abstraction
• Gather requirements
• Leverage a series of templates for capturing requirements
• Write clear, complete, and correct definitions
• Explain the critical factors that must be in place for a successful enterprise data model
• Understand subject area, logical, and physical data models
• Ensure the model captures the requirements
• Validate model scope
• Follow acceptable modeling principles
• Determine the optimal use of generic concepts
• Apply consistent naming standards
• Arrange the model for maximum understanding
• Write clear, correct, and consistent definitions
• Match the model with the enterprise
• Compare the metadata with the data

About the Author

Steve Hoberman is one of the world's most well-known data modeling gurus. 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. 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 Data Modeling Made Simple, Data Modeler`s Workbench, and Data Modeling for the Business. He is the founder of the Design Challenges group, inventor of the Data Model Scorecard™, and CEO of Technics Publications.