TDWI Summer

Data Analysis and Design

• S2 Dimensional Modeling from a Business Perspective: A Model the Business Can Understand
  
• M2 TDWI Dimensional Data Modeling Primer: From Requirements to Business Analytics
  
• M3 TDWI Data Warehousing Architectures: Choosing the Right Data Warehousing Approach
  
• M6 Mastering BI with Best-Practice Architectures and Data Models: From Hub and Spoke to Agile Development
  
• T3 Dimensional Design: Intermediate and Advanced Techniques*
  
• W1 TDWI Data Modeling: Data Analysis and Design for BI and Data Warehousing Systems
  
• W5 Kimball Data Warehouse Lifecycle Overview
  
• W6 Practical Data Quality Management
  
• TH1 TDWI Requirements Gathering: Getting Correct and Complete Requirements for BI Systems
  
• TH2 TDWI Advanced Data Modeling Techniques
  
• TH4 Business Intelligence Roadmap: The Complete Project Lifecycle for Data Warehouse Projects
  
• TH6 Down and Dirty with Data Quality: A Hands-On Experience with Data Quality Assessment
  
• TH7P Predictive Analytics: Making It WorkUPDATED!
  
• F3 Down and Dirty with Data Quality: A Hands-On Experience with Data Cleansing
  
• F5 Using the Data Model Scorecard to Improve Data Model Quality