Data Integration Learning Path

Data Integration 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.

Data integration skills are essential in roles such as:

• Data Steward
• Data Acquisition Architect
• Source Data Analyst
• ETL Developer
• Business Intelligence Architect
• Metadata Administrator
• Quality Administrator.

Other courses of interest:

• TDWI Data Cleansing
• Integrating MDM and Data Quality Using Enterprise Data Modeling
• Evaluating ETL Tools and Technologies
• Ensuring Data Quality in Data Integration