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Audience

This is a basic course for project administrators and ETL developers responsible for data extraction and transformation using DataStage.

 

Prerequisites

You should have a basic knowledge of the Windows operating system and some familiarity with database access techniques.

 

Duration

4 days.

 

Objectives

This course is designed to introduce ETL developers to DataStage 11.3.

Course objectives include:

  • Describe the uses of DataStage and the DataStage workflow.
  • Describe the Information Server architecture and how DataStage fits within it.
  • Describe the Information Server and DataStage deployment options.
  • Use the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environment.
  • Import and export DataStage objects to a file.
  • Import table definitions for sequential files and relational tables.
  • Design, compile, run, and monitor DataStage parallel jobs.
  • Design jobs that read and write to sequential files.
  • Describe the DataStage parallel processing architecture.
  • Design jobs that combine data using joins and lookups.
  • Design jobs that sort and aggregate data.
  • Implement complex business logic using the DataStage Transformer stage.
  • Debug DataStage jobs using the DataStage PX Debugger.
  • Read and write to database tables using DataStage ODBC and DB2 Connector stages.
  • Work with the Repository functions such as search and impact analysis.
  • Build job sequences that control batches of jobs.

 

Topics

Unit 01: Introduction to DataStage.
Unit 02: Deployment.
Unit 03: DataStage Administration.
Unit 04: Working With Metadata.
Unit 05: Creating Parallel Jobs.
Unit 06: Accessing Sequential Data.
Unit 07: Partitioning and Collecting.
Unit 08: Combining Data.
Unit 09: Group Processing Stages.
Unit 10: Transformer Stage.
Unit 11: Repository Functions.
Unit 12: Working with Relational Data.
Unit 13: Job Control.

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