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Advanced DataStage for Enterprise Edition
 
 
 
 
ibm certified training   this course works with savings passes
 
code. DX436   length. 4 days
type. Instructor-Led   partner. IBM
price.
$3,500  
 
This course was formerly course number DS325EE.
 
Go beyond the basic features of building DataStage jobs and get an in-depth look at how Enterprise Edition (EE) works. Sample topics include:

Framework architecture
Partitioners, partitioning methods, partitioning methodology, and recommendations
Job score and how to read it
Parallel system variables
Buffering
Best practices
Tips and techniques
Introductory performance tuning


 
course schedule  
 
There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links below.
   
Request course date Request on site training
 
who can benefit
  
 
This is a basic course for project developers responsible for data extraction and transformation using DataStage EE.
 
prerequisites
  
 
You should complete:

DataStage Essentials for Enterprise Edition (DX434)
six months of experience with DataStage EE


 
skills gained
  
 

Use standard stages to create a typical application
Use DataStage to extract and load transaction data to star schema
Create reusable objects using DataStage BASIC
Create and use job templates
Schedule and run DataStage jobs in a networked hierarchy


 
course materials
  
 
The course materials cover Advanced DataStage for Enterprise Edition - Version 7.x
 
hands-on labs
  
 
Several labs are included throughout the delivery to address and reinforce the skills discussed.
 
ibm education advantage program eligibility:
  
 

Yes - IBM Education Pack - online account
Yes - IBM Education Card
Yes - IBM Corporate Education Pass


 
related courses, exams and materials
  
 


  before related training and products


 
course content details  
 


  Course Outline

outline
Introduction to EE Architecture
Compilation and execution
EE data types
Partitioning data
Collecting and sorting data
Buffering in EE
Extending EE
Best practices and job design guidelines
Database usage
Environment variables
Performance tuning
Job score
Framework classes





 
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