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Course Outline

Module 1: Course Introduction

  • Introduction, Agenda, and Overview of the Course

Module 2: Developer Review & Join Profiling

  • Review of Informatica Developer functionalities
  • Utilization of Enterprise Discovery to establish Join Profiles for government data environments
  • Lab: Execution of Join Profiling via an Enterprise Discovery Profile

Module 3: Standardizing and Classifying Data

  • Review of Data Standardization Techniques
  • Development, refinement, and application of a Classifier Model
  • Labs: Creation, refinement, and application of a Classifier Model for government data sets
  • Module 4: Advanced Parsing Techniques

    • Definition and scope of Probabilistic Labeling and Parsing
    • Development, refinement, and application of a Probabilistic Model
    • Additional Parsing Techniques:
      • Construction of regular expressions for data integrity
    • Labs: Development, refinement, and application of a Probabilistic Model for government systems
    • Lab: Review of an Advanced Parsing example within a federal context
    • Lab: Generation and testing of Regular Expressions

    Module 5: Grouping & Matching Data

    • Additional Grouping Techniques
      • Application of Composite keys for government data organization
    • Advanced Matching Techniques
      • Output handling for Matched pairs
      • Operation of Match Mapplets in federal workflows
      • Data manipulation via Driver ID identifiers
      • Execution of Dual Matching processes
    • Lab: Creation of a Match mapping utilizing Matched Pairs for government data
    • Lab: Construction and update of a Match Mapplet
    • Lab: Manipulation of Matched Data using the Driver ID
    • Lab: Execution of Dual Matching using a Master Dataset

    Module 6: Automatically Associate and Consolidate Matched Data

    • Overview of the Data Consolidation Process for government operations
    • Utilization of the Consolidation Transformation to aggregate matched data.
    • Application of the Association Transformation to link matched data prior to consolidation.
    • Lab: Automated consolidation of matched data within federal systems
    • Lab: Execution of multi-criteria Matching, Association, and Consolidation for government requirements.

    Module 7: Task and Workflow Management

    • Advanced Task and Workflow functionality:
      • Permission configurations for secure data access and editing in government environments
      • Notification protocols, including Human Task Notification Variables
      • Configuration of Workflow Timeouts
      • Review procedures for government tasks
      • Configuring Workflow Recovery mechanisms
    • Lab: Update of the Exception Workflow for federal applications
    • Lab: Review of the Consolidation Workflow in government contexts

    Module 8: Processing Updated Exception and Cluster Data

    • Procedures for processing updated exception records
    • Procedures for processing consolidated records
    • Identification of Fields of Interest for government reporting
    • Lab: Creation of a mapping to process updated exception data
    • Lab: Creation of a mapping to process consolidated data
    • Lab: Update and deployment of Exception and Cluster Workflows

    Module 9: Analyst Tasks

    • Update of exception and duplicate records within Informatica Analyst for government use
    • Lab: Record updates and task progression through the Exception Process
    • Lab: Record updates and task progression through the Consolidation Process

    Module 10: Parameterization

    • Differentiation between System and User-defined parameters in government software
    • Application of Parameters in Data Quality mappings.
    • Lab: Creation of a parameterized mapping for federal systems
    • Lab: Construction and deployment of an Application
    • Lab: Creation and execution of parameter files for government operations

    Module 11: Performance tips and tricks

    • General Installation and Memory Optimization Information
    • DQ Component Configuration
      • Service Settings for federal infrastructure
    • DQ Transformations
      • Configuration Settings for government performance standards

    Module 12: Optional - Data Quality at work

    • Analysis of Data Quality implementation across various federal projects

    Module 13: CRM and Dashboard and Reporting Templates

    • Review of available CRM, Dashboard, and Reporting Templates for government agencies
    • Lab: Review of the CRM Template for federal use cases

    Requirements

    • Data Quality: Data Quality Management for government developers
     21 Hours

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    Price per participant

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