TDWI World Conference San Diego, CA August 7-12, 2011

Data Analysis and Design

Data Analysis and Design provides the foundation for delivery of BI applications. Analysis concentrates on understanding business needs for data and information. Design focuses on translating business information needs into data structures that are adaptable, extensible, and sustainable. Core skills include information needs analysis, specification of business metrics, and data modeling. A solid understanding of data warehousing concepts, architectures, and processes is also essential.

• S4A Building the Agile Database: Delivering Maximum Agility and Maximum ValueNEW!
  
• M2 TDWI Dimensional Data Modeling Primer: From Requirements to Business Analytics
  
• M4 Agile Data Warehousing 101: An Introduction to Accelerated BI/DW Development
  
• M6 Kimball Data Warehouse Lifecycle Overview
  
• T2 Dimensional Design: Intermediate and Advanced Techniques*
  
• T4A CIF—Coordinating Your BI, Data Warehousing, and Enterprise Information Initiatives
  
• W2 TDWI Data Modeling: Data Analysis and Design for BI and Data Warehousing Systems
  
• W4 Survival Skill: Requirements Management for Agile Data Warehousing ProjectsUPDATED!
  
• W5 Mastering BI with Best-Practice Architectures and Data Models: From Hub and Spoke to Agile Development
  
• TH1 TDWI Requirements Gathering: Getting Correct and Complete Requirements for BI Systems
  
• TH2 TDWI Advanced Data Modeling Techniques
  
• TH4 Fast and Thorough: Quality Assurance for Agile Data Warehousing ProjectsUPDATED!
  
• F2 Agile Data Modeling: The Art of Delivering Quality Models QuicklyNEW!
  
• F4A Architecture and Technologies for Agile OLAP
  
• F5 Hands-On Data Cleansing: A Laboratory Experience