TDWI World Conference

Prerequisite: None

Solid architecture and data modeling are two critical components of successful business intelligence implementations. In this course, two of the top industry leaders—Claudia Imhoff and Len Silverston—team up to share best practices in architecture and data modeling for BI. They share various options for all types of environments as well as the pros and cons for each of these choices. This course will also explore and discuss effective ways of designing sustainable BI systems, whether you are using a hub-and-spoke architecture, bus architecture, agile development, generalized data modeling, or specific data modeling.

You Will Learn

• Pros and cons of various types of architectures
• Useful architectural frameworks and how they can help
• Pros and cons of various types of data modeling styles
• Reusable data models and patterns that can help jump-start and/or quality assure your efforts
• Case studies of organizations that have used different approaches in BI and what has worked
• How these architectures and models can be used in different types of development environments from more traditional BI approaches to agile development

Geared To

• Data modelers; data warehouse designers; data administrators; database designers; database administrators; any other information systems professionals who need to be involved in data and database architecture