InfoSphere QualityStage 11.7 Developers Training
This course empowers you to leverage IBM QualityStage to identify and resolve data quality contaminants, standardize data, and effectively match and consolidate records. Learn how to build and run QualityStage jobs, create custom rule sets, and refine match criteria to improve data accuracy. With hands-on experience in investigation, standardization, and survivorship processes, you’ll gain the skills needed to deliver high-quality, reliable data for better business decisions.
Audience:
The audience for this course includes new QualityStage developers, data analysts responsible for data quality, data cleansing developers, and data quality developers looking to create match specifications.
Objectives: This is a 5-day instructor-led course, conducted over 5 hours per day.
Overview
- List the common data quality contaminants
- Describe QualityStage architecture
- List few Business issues and how QualityStage can help in resolving it
- Describe each of the following processes:
- Investigation
- Standardization
- Match
- Survivorship
- Build and run QualityStage jobs, review results
- Build Investigate jobs
- Character Investigations
- Word Investigations
- Compare Investigation results with IA analysis
- Build jobs using the Standardize stage
- Interpret standardization results
- Investigate unhandled data and patterns
- Rule Sets and Rule Set files
- Creation of a Custom Rule Set
- Classification Table
- Pattern Action file
- Standardization Rules Designer
- Build Custom Standardization rule set
- Build a QualityStage job to identify matching records
- Match Frequency
- Apply multiple Match passes to increase efficiency
- Interpret and improve match results
- Refining Match Criteria
- Build a Survive job
- Consolidate matched records into a single master record