TDWI World Conference

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.

• S1 TDWI Data Warehousing Concepts and Principles: An Introduction to the Field of Data Warehousing
  
• S5P Data Quality for Operational BI
  
• M4 TDWI Data Integration Techniques: ETL and Alternatives for Data Consolidation
  
• M5 Beyond the Data Warehouse: Architectural Options for Data Integration
  
• W4 Hands-On Data Quality Assessment: A Laboratory Experience
  
• W6A MDM for Practitioners: Developing Your MDM PlanNEW
  
• W6P MDM for Practitioners: Deploying Your MDM SolutionNEW