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DataFlux Data Management Studio online training

DataFlux Data Management Studio Advanced


DataFlux Data Management Studio(DDMS) is a data management suite that combines :Data quality, Data integration,Master data management.It provides a process and technology framework to deliver a single, accurate and consistent view of your enterprise data.Data Management Studio gives you the ability to:Merge customer, product, or other enterprise data ,Unify disparate data through a variety of data integration methods (batch, real time, virtual) ,Verify and complete address information ,Integrate disparate data sets and ensure data quality ,Transform and standardize product codes ,Monitor data for compliance in batch or real time ,Manage metadata hierarchy and visibility.


  • Before attending this course, you should attend DataFlux Data Management Studio: Basics or have equivalent knowledge.


  • It is a 12 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

  • It is a 3 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
    Private Classroom arranged on request and minimum attendies for batch is 4.

course content

  • Introduction
    • overview of course topics
    • Introduction to course data
  • DataFlux Expression Engine Language (EEL)
    • Introduction to DataFlux Expression Engine Language (EEL)
    • data profiling using Expression Engine Language (EEL)
    • working with the Expression node: IF/ELSE statements
    • working with the Expression node: RETURN statement
    • working with the Expression node: Pushrow function
    • working with the Expression node: grouping functionality
  • Custom Metrics, Macros, and More
    • working with custom metrics
    • working with macro variables
    • using multiple locales in a data job
  • Process Jobs
    • introduction to process jobs
    • using variables in process jobs
    • exploring conditional processing, work tables, and events
    • exploring parallel processing using events
    • exploring parallel processing using the Fork node
    • exploring parallel processing using the Parallel Iterator node
  • Tips, Tricks and Other Topics
    • discuss how data is processed in a data job
    • discuss job optimization
    • discuss various tips for building and testing jobs
    • discuss a command-line command for deployed jobs
    • discuss topics for promoting to production


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Demo Schedule : 08:30P.M EST / 07:30P.M CST / 05:30P.M PST on 21st OCT & 06:00A.M IST on 22nd OCT
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