Cart () Loading...

    • Quantity:
    • Delivery:
    • Dates:
    • Location:


IBM InfoSphere DataStage Essentials (v11.5)

Learn the skills necessary to develop parallel jobs in DataStage.

This course enables the project administrators and ETL developers to acquire the skills necessary to develop parallel jobs in DataStage. The emphasis is on developers. Only administrative functions that are relevant to DataStage developers are fully discussed. Students will learn to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.

GK# 3927 Vendor# KM204G
Vendor Credits:
No matching courses available.
Start learning as soon as today! Click Add To Cart to continue shopping or Buy Now to check out immediately.
Access Period:
Scheduling a custom training event for your team is fast and easy! Click here to get started.
Your Selections:
Access Period:
No available dates

Who Should Attend?

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

What You'll Learn

  • 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

Course Outline

  • Module 1. Introduction to DataStage
  • Module 2. Deployment
  • Module 3. DataStage Administration
  • Module 4. Work with Metadata
  • Module 5. Create Parallel Jobs
  • Module 6. Access Sequential Data
  • Module 7. Partitioning and Collecting Algorithms
  • Module 8. Combine Data
  • Module 9. Group Processing Stages
  • Module 10. Transformer Stage
  • Module 11. Repository Functions
  • Module 12. Work with Relational Data
  • Module 13. Control Jobs


  • Basic knowledge of Windows operating system
  • Familiarity with database access techniques