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IBM InfoSphere QualityStage Essentials v11.5 (KM213G)     » zur vollständigen Seminarliste

This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. Students will gain experience by building an application that combines customer data from three source systems into a single master customer record.

Alle IBM Trainings werden mit Original IBM Schulungsunterlagen angeboten und finden in Kooperation mit dem von Arrow ECS autorisierten IBM Schulungspartner esciris statt.

Kurs-Id: IBM_KM213G


1. Data Quality Issues

Listing the common data quality contaminants

Describing data quality processes

2. QualityStage Overview

Describing QualityStage architecture

Describing QualityStage clients and their functions

3. Developing with QualityStage

Importing metadata

Building DataStage/QualityStage Jobs

Running jobs

Reviewing results

4. Investigate

Building Investigate jobs

Using Character Discrete, Concatenate, and Word Investigations to analyze data fields

Reviewing results

5. Standardize

Describing the Standardize stage

Identifying Rule Sets

Building jobs using the Standardize stage

Interpreting standardize results

Investigating unhandled data and patterns

6. Match

Building a QualityStage job to identify matching records

Applying multiple Match passes to increase efficiency

Interpreting and improving Match results

7. Survive

Building a QualityStage survive job that will consolidate matched records into a single master record

8. Two-Source Match

Building a QualityStage job to match data using a reference match


Data Analysts responsible for data quality using QualityStage.

  • Data Quality Architects
  • Data Cleansing Developers

Participants should have:

  • Familiarity with the Windows operating system
  • Familiarity with a text editor
  • Helpful, but not required, would be some understanding of elementary statistics principles such as weighted averages and probability.

Das Training findet auf Deutsch statt.