DataFlux

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

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
  • Unicode Support
  • DataFlux Accelerators
  • DataFlux Integration Server (DIS)
  • DataFlux Licensing
  • dfPower Customize
• Best Practices for Implementation Process
• Course Wrap-Up

dfPower Customize Training

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
• Understanding dfPower Customize
  • dfPower Customize solutions
  • Real-world examples of when and how to use dfPower Customize
• Fundamental dfPower Customize Concepts
  • What is a Data Type?
  • Customizing Standard Routines
• Parsing - Bottom-up / Top-down logic
  • Defining Chop Tables; Use of Regular Expressions
  • Building and Modifying Vocabularies
  • Building and Modifying Grammars
  • Solution Scoring
• Standardization
  • Use of Standardization Definitions
  • Use of Regular Expressions
  • How to Apply Standardization Definitions
• Matching
  • The Logic Behind Creating Match Rules
  • Creating Match Codes
• Gender
  • Definition
  • Building Gender Values
• Case
  • Definition
  • Building Cased Values
• Review and Discussion
  • Best Practices for Using dfPower Customize
  • Questions and Open Discussion