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IBM InfoSphere Advanced DataStage - Parallel Framework v11.5

GK# 4499

Course Overview

This course is designed to introduce advanced parallel job development techniques in IBM DataStage v11.5. In this course you will develop a deeper understanding of the DataStage architecture, including a strong foundation 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.

Delivery Format Options

  • Classroom Live

    Classroom Live

    Receive face-to-face instruction at one of our training center locations.

    From

    $2795 CAD

    3 day

  • Virtual Classroom Live

    Virtual Classroom Live

    Experience expert-led online training from the convenience of your home, office or anywhere with an Internet connection.

    From

    $2795 CAD

    3 day

  • Self-Paced

    Self-Paced

    Recordings, hands-on labs and expert instructors empower you to train on your own schedule.

    From

    $1080 CAD

    1 session

  • Private Group Training

    Private Group Training

    Train your entire team in a private, coordinated professional development session at the location of your choice.

    Receive private training for teams online and in-person.

Request a date or location for this course.

What You'll Learn

  • Design a job that creates robust test data
  • Describe the job execution process
  • Generate sequences of numbers (surrogate keys) in a partitioned, parallel environment
  • Describe sort key and partitioner key logic in the parallel framework
  • Work with complex data
  • Describe the Balanced Optimization workflow

Prerequisites

IBM InfoSphere DataStage Essentials course or equivalent and at least one year of experience developing parallel jobs using DataStage.

Who Needs To Attend

Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek an understanding of the parallel framework architecture.

Course Outline

Download Course Outline