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

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

• Data Modeling Made Simple with Embarcadero ER/Studio Data Architect: Adapting to Agile Data Modeling in a Big Data World
• Data Model Scorecard: Applying the Industry Standard on Data Model Quality
• The Language of SQL (Learning)
• Data Modeling Essentials, Third Edition
• Star Schema The Complete Reference
• Data Modeling for the Business: A Handbook for Aligning the Business with IT using High-Level Data Models (Take It with You Guides)
• NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software
• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition
• Systems Analysis and Design