Data Modeling Made Simple

<p>Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives:</p> <ol> <li>Know when a data model is needed and which type of data model is most effective for each situation</li> <li>Read a data model of any size and complexity with the same confidence as reading a book</li> <li>Build a fully normalized relational data model, as well as an easily navigatable dimensional model</li> <li>Apply techniques to turn a logical data model into an efficient physical design</li> <li>Leverage several templates to make requirements gathering more efficient and accurate</li> <li>Explain all ten categories of the Data Model Scorecard</li> <li>Learn strategies to improve your working relationships with others</li> <li>Appreciate the impact unstructured data has, and will have, on our data modeling deliverables</li> <li>Learn basic UML concepts</li> <li>Put data modeling in context with XML, metadata, and agile development</li> </ol> <p><strong>Book Review by Johnny Gay</strong><br /> In this book review, I address each section in the book and provide what I found most valuable as a data modeler. I compare, as I go, how the book&#39;s structure eases the new data modeler into the subject much like an instructor might ease a beginning swimmer into the pool.<br /> <br /> This book begins like a Dan Brown novel. It even starts out with the protagonist, our favorite data modeler, lost on a dark road somewhere in France. In this case, what saves him isn&#39;t a cipher, but of all things, something that&#39;s very much like a data model in the form of a map! The author deems they are both way-finding tools.<br /> &nbsp;</p>