Course Outline

Module 1: Course Introduction

  • Course Introduction, Agenda and Overview

Module 2: Developer Review & Join Profiling

  • A quick review of Informatica Developer
  • Use Enterprise Discovery to create Join Profiles
  • Lab: Perform Join Profiling using an Enterprise Discovery Profile

Module 3: Standardizing and Classifying Data

  • Review Standardization Techniques
  • Build, refine and apply a Classifier Model
  • Labs: Create, refine and apply Classifier Model

Module 4: Advanced Parsing Techniques

  • What is Probabilistic Labeling and Parsing?
  • Build, refine and apply a Probabilistic Model
  • Additional Parsing Techniques:
    • Build regular expressions
  • Labs: Build, refine and apply a Probabilistic Model
  • Lab: Review an example of Advanced Parsing 
  • Lab: Generate and test Regular Expressions

Module 5: Grouping & Matching Data

  • Additional Grouping Techniques
    • Using Composite keys
  • Advanced Matching Techniques
    • Matched pairs outputs
    • Working with Match Mapplets
    • Manipulating the matched data using the Driver ID
    • Perform Dual Matching
  • Lab: Create a Match mapping using Matched Pairs 
  • Lab: Create and update a Match Mapplet
  • Lab: Manipulating Matched Data using the Driver ID
  • Lab: Perform Dual Matching using a Master Dataset

Module 6: Automatically Associate and Consolidate Matched Data

  • Overview of the Consolidation Process
  • Use the Consolidation Transformation to consolidate matched data.
  • Use the Association Transformation to link matched data ahead of Consolidation
  • Lab: Automatically Consolidate matched data
  • Lab: Perform multi-criteria Matching, Association and Consolidation.

Module 7: Task and Workflow Management

  • Additional Task and Workflow functionality:
    • Permission settings for data access and editing
    • Notifications including Human Task Notification Variables
    • Setting Timeouts
    • Reviewing Tasks
    • Configuring Workflow Recovery
  • Lab: Update the Exception Workflow
  • Lab: Review the Consolidation Workflow

Module 8: Processing Updated Exception and Cluster Data

  • How to process updated exception records
  • How to process consolidated records
  • Fields of Interest
  • Lab: Create a mapping to process updated exception data
  • Lab: Create a mapping to process consolidated data
  • Lab: Update and deploy Exception and Cluster Workflows

Module 9: Analyst Tasks

  • Update exception and duplicate records in Informatica Analyst
  • Lab: Update records and push the Tasks through the Exception Process
  • Lab: Update records and push the Tasks through the Consolidation Process

Module 10: Parameterization

  • Explain the difference between System and User defined parameters
  • Use Parameters in Data Quality mappings.
  • Lab: Create a parameterized mapping
  • Lab: Build and deploy an Application
  • Lab: Create and execute parameter files

Module 11: Performance tips and tricks

  • General Installation and Memory Information
  • DQ Component Configuration
    • Service Settings
  • DQ Transformations
    • Configuration Settings

Module 12: Optional - Data Quality at work

  • Learn how Data Quality has been implemented in different projects

Module 13: CRM and Dashboard and Reporting Templates

  • Review the CRM and Dashboard and Reporting Templates that are available
  • Lab: Review the CRM Template

Requirements

  • Data Quality: Data Quality Management for Developers
 21 Hours