IBM InfoSphere QualityStage Essentials v11.5

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.

• Listing the common data quality contaminants

• Describing data quality processes

• Describing QualityStage architecture

• Describing QualityStage clients and their functions

• Importing metadata

• Building DataStage/QualityStage Jobs

• Running jobs

• Reviewing results

• Building Investigate jobs

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

• Reviewing results

• Describing the Standardize stage

• Identifying Rule Sets

• Building jobs using the Standardize stage

• Interpreting standardize results

• Investigating unhandled data and patterns

• Building a QualityStage job to identify matching records

• Applying multiple Match passes to increase efficiency

• Interpreting and improving Match results

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

• Building a QualityStage job to match data using a reference match