IBM InfoSphere QualityStage Essentials v11.7

1. Data Quality Issues
   1. Exercise 1: Pre-lab Prep
2. QualityStage Overview
   1. Exercise 1: QualityStage Logon
3. Developing with QualityStage
   1. Exercise 1: Import Table Definition Metadata
   2. Exercise 2: Build a QualityStage Job
4. Investigate
   1. Build Investigate Jobs
5. Standardize
   1. Exercise 1: Standardize Country
   2. Exercise 2: Select US Records
   3. Exercise 3: Standardize USPREP
   4. Exercise 4: Standardize USNAME, USADDR, and USAREA
   5. Exercise 5: Investigate Unhandled Patterns
   6. Exercise 6: Apply Rule Set Overrides
6. Match
   1. Exercise 1: Create match Frequency Job
   2. Exercise 2: One-source Match Specification
   3. Exercise 3: Build a One-source Job using Match Specification
7. Survive
   1. Exercise 1: Survivorship
   2. Exercise 2: Create Customer Load File
8. Two-Sort Match
   1. Exercise 1: Read the Case Study
   2. Exercise 2: Prepare the Data Environment
   3. Exercise 3: Run the Two-Source Match Job

• Data analysts responsible for data quality using QualityStage
• Data quality architects
• Data cleansing developers

Participants should have the following skills:

• Familiarity with the Windows Operating System
• Familiarity with a text editor
• Helpful, but not required: Some understanding of elementary statistics principles such as weighted averages and probabilities.

After completing this course, learners should be able to:

• List common data quality contaminants
• Describe QualityStage architecture, clients, and their functions
• Build and run DataStage and QualityStage jobs and review results
• Use Character Discrete, Concatenate, and Word Investigations to analyze data fields
• Build jobs using the Standardize stage
• Build a QualityStage job to identify matching records
• Interpret, improve, and consolidate match results