This course teaches Information Server and/or DataStage administrators to configure, manage, and monitor the DataStage Engine which plays a crucial role in Information Server. It not only runs high performance parallel ETL jobs designed and built in DataStage. It also supports other Information Server products including Information Analyzer, QualityStage, and Data Click. After introducing DataStage parallel jobs and the Engine that runs them, the course describes DataStage project configuration, the Engine’s development and runtime environments, and the Engine’s data source connectivity. In addition the course explains how to import and export DataStage objects, how to run and monitor DataStage jobs through the command line and GUI, and how to use some important Engine utilities.
This course is recommended for those who will be administering Information Server and DataStage.
After completing this course, you should be able to:
- Describe how the DataStage Engine is used within Information Server
- Describe how the engine achieves high performance through partition parallelism
- Describe the DataStage job compilation process
- Describe the engine runtime process and environment
- Describe the purpose and format of the DataStage configuration file
- Describe how to configure the engine using environment variables
- Describe how to configure data source connections
- Describe the ways of running DataStage jobs
- Describe how to monitor DataStage jobs and the runtime environment
- Describe engine workload management
- Import and export DataStage jobs and other engine objects
It is recommend that students take KM510 “IBM InfoSphere Administrative Tasks for Information Server v11.5” course.
Unit 1: Introduction to the Information Server (DataStage) engine
Information Server architecture
How the DataStage Engine is used in Information Server
DataStage Engine features Unit 2: Elements of a DataStage job
Anatomy of a DataStage parallel job
Explore the elements of an example DataStage job, including its stages and job parameters
Understand the OSH that is generated by the job during compile Unit 3: Engine architecture
The “Score” Unit 4: Engine project configuration
DataStage project authorizations
Runtime Column Propagation (RCP)
Environment variables Unit 5: Configuring database connectivity
Configuring ODBC data sources
Configuring native database connections Unit 6: Running DataStage jobs
Running jobs from the command line
Monitoring jobs in Director and the Operations Console
Starting and stopping the Engine Unit 7: Engine utilities
Data set utilities
Multiple job compile
Resource estimation tool Unit 8: Importing and exporting DataStage objects
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.