IBM InfoSphere QualityStage Essentials v11.7
Analytics · Data, Analytics, and AI
Course Overview
This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records.
This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. This course covers common data quality issues, QualityStage architecture, QualityStage clients and their functions, importing metadata, running jobs and reviewing results, building Investigate jobs, the Standardize stage and rule sets, identifying matching records and applying multiple Match passes, building a Survive job, and using a Two-Source match.
Students will gain experience by building an application that combines customer data from three source systems into a single master customer record.
Who Should Attend
• Data analysts responsible for data quality using QualityStage • Data quality architects • Data cleansing developers
Prerequisites
Participants should have the following skills: • Familiarity with the Windows Operating System • Familiarity with a text editor • Helpful, but not required: Some understanding of elementary statistics principles such as weighted averages and probabilities.
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Course Details
- Course Code
- KM214G
- Level
- Basic
- Duration
- 3,9375 days
- Brand
- Analytics
- Category
- Data, Analytics, and AI
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