1. Informatica Data Quality 9.1 Developer (4 days) Course Description
This four-day course will introduce you to Informatica Data Quality Developer. The
course is designed for all users who are new to Informatica Data Quality Developer.
Topics covered include:
• Profiling, Standardization and Address Validation
• Matching and Consolidation Techniques
Course Objectives
On completion of this course Attendees will be able to:
• Navigate the Developer Tool and collaborate on projects with Analysts using the
Analyst Tool
• Perform Column, Rule, Join, Multi object and Mid-Stream Profiling
• Manage reference tables in the Analyst Tool
• Design and develop Mapplets
• Create standardization, cleansing and parsing routines
• Validate addresses
• Identify duplicate records
• Build mappings used to associate and consolidate matched records
Course Agenda
Introduction to Data Quality Management
Unit 1: Working with Informatica Developer 9
• GUI, Mappings, Mapplets, Transformations, Content Sets, Data Objects
Unit 2: Analyst Collaboration
• Reviewing information from the Analyst
• Comments/Tags
• Creating/adding to Reference tables
Unit 3: Developer Profiling
• Join Analysis Profiling
• Column Profiling
• Multi Object Profiling
• Mappings and transformations
• Mid-stream profiling
• Comparative profiling

2. Unit 4: Data Standardization
• Cleanse, transform and parse data
• Develop data standardization mapplets and mappings
Unit 5: Address Validation
• Reusable AV Transformation
• AV Transformation Properties
• AV Inputs and Outputs
• Reusable AV Mapplet
Unit 6: Matching
• Grouping data
• Analyze Detail Report
• DQ Matching
• Cluster Analysis Report
• Matching Mapplets
Unit 7: Identity Matching
• Build Matching mappings using Identity matching
• Identity Populations and Strategies
Unit 8: Consolidation
• Associate and Consolidate data
Unit 9: Data Quality Assistant
• Build Mappings to create and populate the DQA tables
• Perform manual Consolidation and Bad Record Management
Unit 10: PowerCenter Integration
• Run DQ Mappings in PowerCenter
Unit 11: Object Import/Export
• Import Projects using both Basic and Advanced methods
• Export Projects
Unit 12: DQ for Excel
• Run Data Quality Mappings on Excel Spread sheets

3. Unit 13: Parameters
• How to use Parameters in Data Quality mappings, transformations and reference
tables
Unit 14: Content
• What content is available with IDQ9?
• Content Management Service
• Accelerators
• Core Accelerator
Project
• Use all that has been covered and apply it to Product Data