Data Modeling Made Simple: A Practical Guide for Business and IT Professionals, 2nd Edition

Steve Hoberman

ISBN 10: 0977140067 / ISBN 13: 9780977140060

Published by Technics Publications, 2009

About this Item

Language: eng Language: eng. Seller Inventory # ABE-1496010790814

Bibliographic Details

Title: Data Modeling Made Simple: A Practical Guide...

Publisher: Technics Publications

Publication Date: 2009

Binding: Soft cover

Condition: New

Dust Jacket Condition: No Jacket

Signed: Signed by Author(s)

Edition: 2nd Edition.

About this title

Synopsis:

Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices. Master these ten objectives:

1. Know when a data model is needed and which type of data model is most effective for each situation
2. Read a data model of any size and complexity with the same confidence as reading a book
3. Build a fully normalized relational data model, as well as an easily navigatable dimensional model
4. Apply techniques to turn a logical data model into an efficient physical design
5. Leverage several templates to make requirements gathering more efficient and accurate
6. Explain all ten categories of the Data Model Scorecard(r)
7. Learn strategies to improve your working relationships with others
8. Appreciate the impact unstructured data has on our data modeling deliverables
9. Learn basic UML concepts
10. Put data modeling in context with XML, metadata, and agile development

About the Author:

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.