Code: KM212
Duration: 4 days
Description
This course will teach you how to build QualityStage parallel jobs that investigate, standardise, match, and consolidate data records. You will gain experience by building an application that combines customer data from three source systems into a singlemaster customer record.
Outcomes
- 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
This intermediate course is for:
- Data Analysts responsible for data quality using QualityStage
- Data Quality Architects
- Data Cleansing Developers
Data Analysts, Quality Architects and, Data Cleansing Developers responsible for cleaning up duplicates, redundant information, conflicting data will benefit from this course while helping them to use InfoSphere QualityStage in the most effective way.
Prerequisites
You should have familiarity with:
- Windows
- A text editor
Format
Classroom and hands on lab exercises.
This course is also offered as web-based training. Please contact us for more information.
