DataFlux Data Management Studio: Advanced

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.

Duration 3 Days
Certificate SAS Global
Language English

Fees 2400


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About Program

This course explains some advanced topics for the DataFlux technology through a combination of hands-on exercises, demonstrations, and classroom discussions.

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.

 

This course can help prepare you for the following certification exam(s): SAS Data Quality Steward for SAS 9.

Format of Training

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

Training Features

  • working with the DataFlux Expression Engine Language (EEL)
  • creating custom metrics
  • using macro variables
  • using multiple locales in a data job
  • creating process jobs.

Course Curriculum

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!

  • introduction
  • 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

Course Fees

Classroom

  

  

2400

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