Training offering

Advanced DataStage V8

Description

This course is designed for DataStage v8 developers who have achieved a basic level of skill with the product. It is designed to deepen their knowledge of DataStage by discussing the underlying parallel job framework and by introducing more complex DataStage parallel job designs.
Topics include the parallel architecture, compilation and execution, partitioning and collecting, sorting, buffering, parallel data types, database usage, stage and job design practices, and performance.

Objectives

Develop an understanding of the framework development and runtime architecture Understand metadata in the framework Create jobs using advanced design techniques Design jobs using techniques for good performance and resource usage Extend the functionality of DataStage with Build stages, Wrapped stages, and external functions Choose the appropriate partitioning and collecting algorithms to satisfy business, performance, and resource usage requirements Understand the difference between database stages Read the score to determine what’s happening at runtime Understand configuration files Understand how buffering works in parallel jobs

Participants

This course is designed for DataStage v8 developers who have achieved a basic level of skill with the product. It is designed to deepen their knowledge of DataStage beyond the basic level. We recommend six months experience using DataStage.

Prerequisite(s)

DataStage Essentials v8 course (DX444AGB) Six months experience using DataStage

Programme

Introduction to the Parallel Architecture Compilation and Execution Debugging and testing Partitioning data Collecting and sorting Buffering in Parallel jobs Parallel Data Types Extending Parallel Jobs, using Wrapped stages, Build stages, and external functions Database usage Stage and job design guidelines Performance tuning