IBM InfoSphere Advanced DataStage: Parallel Framework V9.1 Training (KM402G)

PT16870
Training Summary
This three-day course is designed to introduce advanced parallel job development techniques in DataStage V9.1. In this course you will develop a deeper understanding of the DataStage architecture, including a deeper understanding of the DataStage development and runtime environments. This will enable you to design parallel jobs that are robust, less subject to errors, reusable, and optimized for better performance.
Prerequisites
Before taking this course, students should have taken the DataStage Essentials course or equivalent and have at least one year of experience developing parallel jobs using DataStage.
Duration
3 Days/Lecture & Lab
Audience
This advanced course is for experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek an understanding of the parallel framework architecture.
Course Topics
Introduction to the Parallel Framework Architecture
  • Compilation and Execution
  • Partitioning and Collecting Data
  • Sorting Data
  • Buffering in Parallel Jobs
  • Parallel Framework Data Types
  • Reusable components
  • Balanced Optimization

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