IBM InfoSphere Advanced DataStage - Parallel Framework 11.3 - SPVC

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Wichtige informationen

  • Kurs
  • Wann:
    Oktober
Beschreibung

This advanced course is for experienced DataStage developers seeking training in more advanced DataStage job techniques and who are seeking an understanding of the parallel framework architecture. Das Zentrum IBM präsentiert das folgende Programm, mit dem Sie Ihre Kompetenzen stärken sowie Ihre gesteckte Ziele erreichen können. In dem Kurs zu dieser Schulung gibt es verschiedene Module zur Auswahl und Sie können mehr über die angebotenen Thematiken erfahren. Einfach anmelden und Zugang zu den folgenden Themen erhalten

Wichtige informationen
Veranstaltungsort(e)

Wo und wann

Beginn Lage
Oktober

Häufig gestellte Fragen

· Voraussetzungen

You should have:

  • Completed a DataStage Essentials course or equivalent
  • At least one year of experience developing parallel jobs using DataStage

Was lernen Sie in diesem Kurs?

IBM

Themenkreis

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.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

http://www.ibm.com/training/terms

Training Paths that reference this course are:

  • DataStage Integration Developer – New to DataStage Parallel Jobs
  • DataStage Integration Developer - New to Information Server

Zusätzliche Informationen

  • 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
  • Opti

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