IBM InfoSphere Advanced DataStage - Parallel Framework V9.1

IBM InfoSphere Advanced DataStage - Parallel Framework V9.1 Course Description

Duration: 3.00 days (24 hours)

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.

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Intended Audience for this IBM InfoSphere Advanced DataStage - Parallel Framework V9.1 Course

  • » 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.

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This Course is also part of:

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IBM InfoSphere Advanced DataStage - Parallel Framework V9.1 Course Objectives

  • » 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

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IBM InfoSphere Advanced DataStage - Parallel Framework V9.1 Course Outline

      1. Introduction to the Parallel Framework Architecture
      2. Compilation and Execution
      3. Partitioning and Collecting Data
      4. Sorting Data
      5. Buffering in Parallel Jobs
      6. Parallel Framework Data Types
      7. Reusable components
      8. Balanced Optimization

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Do you have the right background for IBM InfoSphere Advanced DataStage - Parallel Framework V9.1?

Skills Assessment

We ensure your success by asking all students to take a FREE Skill Assessment test. These short, instructor-written tests are an objective measure of your current skills that help us determine whether or not you will be able to meet your goals by attending this course at your current skill level. If we determine that you need additional preparation or training in order to gain the most value from this course, we will recommend cost-effective solutions that you can use to get ready for the course.

Our required skill-assessments ensure that:

  1. All students in the class are at a comparable skill level, so the class can run smoothly without beginners slowing down the class for everyone else.
  2. NetCom students enjoy one of the industry's highest success rates, and pass rates when a certification exam is involved.
  3. We stay committed to providing you real value. Again, your success is paramount; we will register you only if you have the skills to succeed.
This assessment is for your benefit and best taken without any preparation or reference materials, so your skills can be objectively measured.

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