DataFlux Data Management Studio: Fast Track

This course covers the majority of content of both DataFlux Data Management Studio: Essentials and DataFlux Data Management Studio: Advanced.

Duration 4 Days
Certificate SAS Global
Language English

Fees 4000

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About Program

This course covers the majority of content of both DataFlux Data Management Studio: Essentials and DataFlux Data Management Studio: Advanced. It introduces DataFlux Data Management Studio and expands your knowledge by including topics for data explorations and profiling, data jobs to perform data management tasks (such as data quality and entity resolution), data monitoring, usage of DataFlux Expression Engine language, custom metrics, macro variables, and process jobs..

The self-study version of this course includes structured course notes that provide a detailed overview, essential skills, and exercises, along with a software Virtual Lab to practice.

The e-learning includes:

  • digital course notes for self-study
  • Virtual Lab: 30 hours of hands-on software practice.

Format of Training

Taught by certified instructors at high-tech facilities across the country

Training Features

  • understand data explorations
  • create and review data profiles
  • create data jobs for data improvement
  • establish monitoring aspects for your data
  • work with the DataFlux Expression Engine Language
  • create and use custom metrics
  • define and use macro variables
  • create process jobs.

Course Curriculum

Introduction and Course Flow

  • introduction
  • course flow

DataFlux Data Management Studio: Getting Started

  • introduction
  • quality knowledge base and reference sources
  • data connections

Working through the PLAN Phase of the DataFlux Methodology

  • creating data collections (self-study)
  • designing data explorations
  • creating data profiles
  • designing data standardization schemes

Working through the ACT Phase of the DataFlux Methodology

  • introduction to data jobs
  • data quality jobs
  • data enrichment jobs (self-study)
  • entity resolution jobs

Working through the MONITOR Phase of the DataFlux Methodology

  • defining business rules
  • data profiling with business rules and alerts
  • data jobs with business rules
  • data jobs with monitoring tasks

Additional Topics (Self-Study)

  • multi-input/multi-output data jobs
  • using data job references within a data job
  • introduction to DataFlux Data Management server

DataFlux Expression Engine Language

  • introduction to DataFlux Expression Engine Language (EEL)
  • data profiling using EEL
  • working with the expression node: IF/ELSE statements
  • working with the expression node: RETURN statement
  • working with the expression Node: Pushrow function (self-study)
  • working with the expression node: grouping functionality (self-study)


  • overview of remaining course topics
  • clean data, new repositories, default macro variables

Custom Metrics, Macros, and More

  • working with custom metrics
  • working with macro variables
  • using multiple locales in a data job (self-study)

Process Jobs

  • introduction to process jobs
  • using variables in process jobs
  • conditional processing, work tables, and events
  • parallel processing in process jobs (self-study)

Tips, Tricks, and Other Topics

  • how data is processed in a data job
  • job optimization
  • tips for building and testing jobs
  • deploying jobs
  • promote to production

Case Studies

  • case study for "essentials"
  • case study for "advanced"

Course Fees





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