Portugal
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:
: 21 hours/180 day license
Before attending this course, you should attend or have equivalent knowledge.
This course addresses DataFlux Data Management Studio, DataFlux Data Management Server software.
Introduction
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.
- working with the DataFlux Expression Engine Language (EEL)
- creating custom metrics
- using macro variables
- using multiple locales in a data job
- creating process jobs.
: 21 hours/180 day license
Before attending this course, you should attend or have equivalent knowledge.
This course addresses DataFlux Data Management Studio, DataFlux Data Management Server software.
Introduction
- overview of course topics
- introduction to course data
- 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
- introduction
- working with custom metrics
- working with macro variables
- using multiple locales in a data job
- 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
- 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
www.sas.com
06 Junho