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DataFlux offers a full range of training and consulting services to help organizations address their data quality and data integration needs. From in-depth product knowledge to data management expertise, DataFlux Professional Services can provide the right mix of skills and training to meet your project needs and help your organization utilize the full potential of its DataFlux product capabilities. For more information, contact DataFlux.

dfPower Studio Training (version 8.x)

Prerequisites: None

Course Objective

The objective of this course is to provide the participant with the fundamental understanding of how to properly use dfPower Studio and effectively apply the DataFlux technology and methodology. The course will present powerful data quality and data integration solutions to allow the participant to better understand their customer, supplier, product and other corporate data. The course provides an opportunity for the participant to obtain hands-on practice of the features and functions of the application.

Course Outline

  • Introduction to DataFlux and Data Management Concepts
  • DataFlux Methodology and Solutions
    • Analyze
    • Improve
    • Control
  • dfPower Studio Overview
  • Analyze: Profiling
  • dfPower Architect Overview
  • Improve: Quality
  • Improve: Integration
  • Improve: Enrichment
  • Control: Trend Analysis
  • Control: Business Rule Monitoring
  • dfPower Studio - Beyond the Basics
    • dfPower Architect
    • Custom Metrics
    • dfPower Explorer
    • Batch Scheduler
    • DataFlux Integration Server (DIS)
    • Intro to dfPower Customize
    • DataFlux Solutions and Accelerators
  • Best Practices for Implementation Process
  • Course Wrap-Up

dfPower Customize Training (version 8.x)

Prerequisites: dfPower Studio Training

Course Objective

The objective of this course is to provide the participant with a fundamental understanding of how to properly apply dfPower Studio and use dfPower Customize to benefit all data quality and data integration initiatives.

Course Outline

  • Course Overview
    • dfPower Customize Functionality
    • dfPower Customize Components
  • Data Types
    • Tokens
    • Creating a Data Type
  • Parse Definitions
    • Parse Concepts
    • Parsing Steps
    • Advanced Parsing Topics
  • Parse Definition Quick Editor
    • Building a Parse Definition
    • Tips and Tricks
  • Standardization Definitions
    • Standardization Definition Concepts
    • Create a Standardization Definition
  • Match Definitions
    • Match Definition Concepts
    • Create Match Values
    • Match Sensitivities
  • Case Definitions
    • Case Definition Concepts
    • Create a Case Definition
  • Pattern Analysis
    • Pattern Analysis Concepts
  • Identification Analysis
    • Identification Analysis Concepts
  • Gender Analysis
    • Gender Analysis Concepts
  • Course Wrap-Up