• 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

Key topics

1. Introduction to DataStage

2. Deployment

3. DataStage Administration

4. Work with Metadata

5. Create Parallel Jobs

6. Access Sequential Data

7. Partitioning and Collecting Algorithms

8. Combine Data

9. Group Processing Stages

10. Transformer Stage

11. Repository Functions

12. Work with Relational Data

13. Control Jobs


Project administrators and ETL developers responsible for data extraction and transformation using DataStage.


  • Basic knowledge of Windows operating system

  • Familiarity with database access techniques


Four days

Outline for IBM InfoSphere DataStage Essentials (v11.5) Training

  • Introduction to DataStage
  • Deployment
  • DataStage Administration
  • Work with Metadata
  • Create Parallel Jobs
  • Access Sequential Data
  • Partitioning and Collecting Algorithms
  • Combine Data
  • Group Processing Stages
  • Transformer Stage
  • Repository Functions
  • Work with Relational Data
  • Control Jobs