IBM Infosphere Quality Stage Online Training

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