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: 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; 7. Learn strategies to improve your working relationships with others; 8. Appreciate the impact unstructured data has, and will...

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