This course teaches you how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. Students will gain experience by building an application that combines customer data from three source systems into a single master customer record.
Before taking this course, students should have a familiarity with the Windows operating system. Familiarity with a text editor helpful, but not required, would be some understanding of elementary statistics principles such as weighted averages and probability.
4 Days/Lecture & Lab
This course is designed for data analysts responsible for data quality using QualityStage, data quality architects, and data cleansing developers.
Data Quality Issues