Duration: 4 Days
This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. You will gain experience by building an application that combines customer data from three source systems into a single master customer record.
What You Will Learn
- Describe data quality definition and issues
- Build QualityStage jobs to investigate data quality issues
- Build QualityStage jobs to cleanse data
- Consolidate duplicate records using QualityStage
- Create a consolidated view of customer records
- Create a reference match that will relate customers to event data
Audience
- Data Analysts responsible for data quality using QualityStage
- Data Quality Architects
- Data Cleansing Developers
Prerequistes
You should be familiar with:
Course Outline
- Data Quality Issues
- QualityStage Architecture
- Developing with QualityStage
- Investigation
- Standardize
- Match
- Survivorship
- Reference Match
Course Labs
