You Will Learn
- Enterprise architecture approaches and how to apply them
- How big data and analytics impact traditional approaches
- Different data models and how they relate to each other
- The role of modeling in analytics
- Higher normalization forms
- How to effectively apply generalization and specialization
- The role of metadata management in data governance
- State and time dependencies and how to handle them
- How to validate the data model
- How to transform the business data model into physical models based on the application
- The implications of alternative storage approaches
- The roles and structures of complementary models
- How to deal with multiple time zones and currencies
Geared To
- Data modelers with some practical experience; data architects; database developers