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

Course Outlines

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

Programme scope, delivery arrangements and suitability are confirmed during enquiry.