This four-day course introduces users to Informatica Data Quality Developer 9.1. The course covers topics such as profiling, standardization, address validation, matching, consolidation, and integration with PowerCenter. The agenda includes 14 units that teach skills like navigating the developer tool, performing various profiling techniques, developing mapplets for cleansing and matching, building mappings for identity matching and consolidation, and using parameters and content in DQ mappings. Upon completing the course, attendees will be able to perform key data quality functions in Developer and collaborate with Analyst Tool users on projects.

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