4 days
Online Offline

DescriptionWhat we offer

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.

This course replaces IBM InfoSphere QualityStage Essentials V8 (KM210).

ObjectivesWhat you 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

TopicsThe best for you

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

PrerequisitesWhat should you know

You should be familiar with:

  • Windows
  • A text editor

AudienceWho should attend

This basic course is for:

  • Data Analysts responsible for data quality using QualityStage
  • Data Quality Architects
  • Data Cleansing Developers