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

Data Integration

Data Integration (DI) is fundamental to data warehousing and is a vital process for a rich and robust data resource to deliver BI solutions. Integration includes all of the activities necessary to acquire data from sources and to transform and cleanse the data. The body of knowledge includes concepts and skills for source data analysis and source qualification, data profiling, source/target mapping, data cleansing and transformation, and ETL development.

• T6 TDWI Data Quality Fundamentals
  
• W1 TDWI Master Data Management Fundamentals
  
• TH5A MDM for Practitioners: Developing Your MDM Plan
  
• TH5P MDM for Practitioners: Deploying Your MDM Solution
  
• TH7 Hands-On Data Quality Assessment: A Laboratory Experience
  
• F1 TDWI Data Integration Techniques: ETL and Alternatives for Data Consolidation
  
• F5 Hands-On Data Cleansing: A Laboratory Experience