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IBM InfoSphere Advanced DataStage - Parallel Framework 11.3

IBM Course Code: KM403G

Vendor# KM403G

GK# 3030

Course Overview

This 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.

Delivery Format Options

  • Classroom Live

    Classroom Live

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

    From

    $2695 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

    $2695 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

  • Describe the parallel processing architecture
  • Describe pipeline and partition parallelism
  • Describe the role and elements of the DataStage configuration file
  • Describe the compile process and how it is represented in the OSH
  • Describe the runtime job execution process and how it is depicted in the Score
  • Describe how data partitioning and collecting works in the parallel framework
  • List and select partitioning and collecting algorithms
  • Describe sorting in the parallel framework
  • Describe optimization techniques for sorting
  • Describe sort key and partitioner key logic in the parallel framework
  • Describe buffering in the parallel framework
  • Describe optimization techniques for buffering
  • Describe and work with parallel framework data types and elements, including virtual data sets and schemas
  • Describe the function and use of Runtime Column Propagation (RCP) in DataStage parallel jobs
  • Create reusable job components using shared containers
  • Describe the function and use of Balanced Optimization
  • Optimize DataStage parallel jobs using Balanced Optimization

Who Needs To Attend

This advanced course is designed for experienced DataStage developers seeking training in more advanced DataStage job techniques and who are seeking an understanding of the parallel framework architecture.