Authors: Steve Hoberman
Tags: 2009
Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices. Master these ten objectives:
- Know when a data model is needed and which type of data model is most effective for each situation
- Read a data model of any size and complexity with the same confidence as reading a book
- Build a fully normalized relational data model, as well as an easily navigatable dimensional model
- Apply techniques to turn a logical data model into an efficient physical design
- Leverage several templates to make requirements gathering more efficient and accurate
- Explain all ten categories of the Data Model Scorecard(r)
- Learn strategies to improve your working relationships with others
- Appreciate the impact unstructured data has on our data modeling deliverables
- Learn basic UML concepts
- Put data modeling in context with XML, metadata, and agile development.
