Course Description
The DataStage Engine, a key component of the Information Server, is configured, managed, and monitored by the administrators of Information Server and/or DataStage once they complete this course. It also executes highly efficient parallel ETL jobs that were created and constructed in DataStage. As well as supporting Data Click, QualityStage, and other Information Server products, it also supports Information Analyzer. The course begins by presenting DataStage parallel jobs and the Engine that powers them before going on to discuss DataStage project configuration, the development and runtime environments of the Engine, and the Engine's access to data sources. The course also covers how to use certain crucial Engine tools as well as how to import and export DataStage objects, run & monitor DataStage jobs through the command line & GUI, & run and monitor DataStage processes.
Prerequisites
Students are advised to enrol in the KM510 course, "IBM InfoSphere Administrative Tasks for Information Server v11.5".
Target Audience
For individuals who will be managing Information Server and DataStage, this course is advised.
Learning Objectives
Following this course, you ought to be able to:
- Describing how the DataStage Engine is used within Information Server
- Describing how the engine achieves high performance through partition parallelism
- Describing the DataStage job compilation process
- Describing the engine runtime process and environment
- Describing the purpose and format of the DataStage configuration file
- Describing how to configure the engine using environment variables
- Describing how to configure data source connections
- Describing the ways of running DataStage jobs
- Describing how to monitor DataStage jobs and the runtime environment
- Describing engine workload management
- Importing and exporting DataStage jobs and other engine objects
Content Outline
- Information Server architecture
- DataStage Engine Features
- How the DataStage Engine is used in Information Server
- Anatomy of a DataStage parallel job
- Exploring the elements of an example DataStage job, including its stages and job parameters
- Understanding the OSH that is generated by the job during compile
- Partition parallelism
- Runtime architecture
- Configuration files
- The “Score”
- DataStage project authorizations
- Runtime Column Propagation (RCP)
- Environment variables
- Configuring ODBC data sources
- Configuring native database connections
- Running jobs from the command line
- Monitoring jobs in Director & the Operations Console
- Workload management
- Starting & stopping the Engine
- Data set utilities
- Multiple job compile
- Resource estimation tool
- DataStage Designer exports and imports
- Command line exports and imports
FAQs
An ETL tool, IBM InfoSphere DataStage is a component of IBM InfoSphere and the IBM Information Platforms Solutions family. It is offered in a variety of variants, including the Server Edition, the Enterprise Edition, and the MVS Edition, and it uses a graphical notation to design data integration solutions. Client-server architecture is used. Both Windows and Unix can be used to deploy the servers.
It is a potent data integration tool that is widely used in Data Warehousing projects to get the data ready for report generating.
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