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Audience

This course is for Data Analysts, Quality Architects and Data Cleansing Developers responsible for cleaning up duplicates, redundant information and 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.

 

Duration

4 days.

 

Objectives

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.

Course objectives include:

  • 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.

 

Topics

Data Quality Issues.
QualityStage Architecture.
Developing with QualityStage.
Investigation.
Standardize.
Match.
Survivorship.
Reference Match.

S5 Box

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