Schulung - IBM KM204G - IBM InfoSphere DataStage Essentials (v11.5)

Course Outline

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

Objective

• 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