About this Course

Duration 3 Days

This course is for data quality stewards who perform data management tasks, such as data quality improvements, data enrichment and entity resolution


  • There currently are no prerequisites for this course.

Who should attend?

  • Data Quality Stewards

Delegates will learn how to

  • create and review data explorations
  • create and review data profiles
  • create data jobs for data improvement
  • establish monitoring aspects for your data.


Introduction to DataFlux Methodolgy and Course Flow

  • overview Data Management Platform architecture
  • introduce and explore DataFlux Data Management methodology
  • review course flow, topics, and data

Getting Started with DataFlux Data Management Studio

  • explore the basics of the DataFlux Data Management Studio interface
  • create a DataFlux Data Management Studio repository
  • discuss the Quality Knowledge Base (QKB) and reference sources
  • work with data connections

Working Through the PLAN Phase of the DataFlux Methodology

  • create data collections
  • design data explorations
  • create data profiles
  • design standardization schemes

Working Through the ACT Phase of the DataFlux Methodology

  • introduce data jobs
  • work with data quality nodes including standardization, parsing, change case, identification analysis, and right-fielding
  • work with data enrichment nodes including address verification (US/Canada) and geocoding (self-study)
  • work with entity resolution nodes including match codes, clustering and surviving record identification

Working Through the MONITOR Phase of the DataFlux Methodology

  • introduce business rules and the Business Rules Manager
  • use business rules in data profiles
  • establish and view data alerts
  • work with data monitoring nodes including execute business rule and data monitoring

Exploring Additional Topics

  • work with data jobs that contain multiple inputs and multiple outputs
  • work with data job references within a data job
  • introduce DataFlux Data Management Server
  • work through a cumulative case study (self-study)

Software Addressed:

This course addresses DataFlux Data Management Server, DataFlux Data Management Studio software. This course addresses DataFlux Data Management Studio 2.5 and DataFlux Data Management Server 2.5.

3 Days


This is a QA approved partner course

Delivery Method

Delivery method


Face-to-face learning in the comfort of our quality nationwide centres, with free refreshments and Wi-Fi.

Find dates and prices

Online booking is currently not available for this course, to find out more please call us on 0113 220 7150 or email us at info@qa.com to discuss how we can help.

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