Using DataFlux(R) Data Management Studio

Course code: DQFT29

This course introduces DataFlux Data Management Studio and includes topics for data profiling, data jobs to perform data management tasks (such as data quality and entity resolution), data monitoring, usage of DataFlux Expression Engine Language, macro variables, and process jobs.
1 440 EUR

1 742 EUR including VAT

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Course dates

Starting date: Upon request

Type: E-learning

Course duration: 28 hours

Language: en

Price without VAT: 1 440 EUR


Starting date: Upon request

Type: Upon request

Course duration: 28 hours

Language: en

Price without VAT: 2 400 EUR


Type Course
Language Price without VAT
Upon request E-learning 28 hours en 1 440 EUR Register
Upon request Upon request 28 hours en 2 400 EUR Register
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Course structure

Architecture and Methodology

  • Introduction to DataFlux Data Management offerings and architecture.
  • Methodology and course flow.

DataFlux Data Management Studio: Getting Started

  • Navigating the Data Management Studio Interface.
  • Verifying quality knowledge base and reference sources.
  • Working with data connections.
  • Creating a DataFlux repository.


  • Creating and exploring data profiles.
  • Profiling a subset of data.
  • Profiling data in text files.

ACT: Introduction to Data Jobs

  • Setting DataFlux Data Management Studio options.
  • Creating, documenting, and running a simple data job.

ACT: Quality

  • Performing a simple exploration of the QKB.
  • Investigating standardization using standardization definitions and standardization schemes.
  • Working with a Field Layout node.
  • Working with parsing and casing.
  • Investigating right fielding and identification analysis.

ACT: Entity Resolution

  • Creating match codes.
  • Clustering records.
  • Adding survivorship to the entity resolution job.
  • Adding field-level rules for the surviving record.


  • Defining business rules.
  • Data profiling with business rules and alerts.
  • Working with data jobs and business rules.
  • Creating and executing a task.

DataFlux Expression Engine Language

  • Introduction and overview of DataFlux Expression Engine Language (EEL).
  • Creating dynamic fields for a profile using EEL.

Expression Node in Data Jobs

  • Working with the Expression node.
  • Reviewing the IF/ELSE statement.
  • Reviewing return status.

Parameterization with Macros

  • Creating a macro file.
  • Using macros in a data profile.
  • Using macros in a data job.

Essentials of Process Jobs

  • Introduction to process jobs.
  • Examining source bindings in a simple process job.

Creating Advanced Process Jobs

  • Working with conditional processing.
  • Working with work tables and events.

Tips, Tricks, and Other Topics

  • Examining how data is processed in a data job.
  • Considering job optimization techniques.
  • Exploring tips for building and testing jobs.
  • Working with the Data Management Server.
  • Examining steps for promotion to production.


There are no prerequisites for this course.

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