IBM InfoSphere

logo

Tailored to Needs

Call Us: 01225 339705 Email: This email address is being protected from spambots. You need JavaScript enabled to view it. Address: Verhoef Training, 11 Kingsmead Square, Bath, BA1 2AB

  • Register


Audience

This basic course is intended for:

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


Prerequisites

You should be familiar with:

  • Windows.
  • A text editor.


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.


Duration

4 days.


Topics

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

S5 Box

Login

Register