IBM InfoSphere: DataStage Jobs

IBM DataStage is a powerful data integration and ETL (Extract, Transform, Load) tool by IBM. It helps organizations extract data from various sources, transform it to meet specific business requirements, and load it into target systems such as data warehouses, data marts, and operational data stores. 

 This Universal Task allows Stonebranch users to schedule, trigger, monitor, and orchestrate InfoSphere DataStage jobs directly from Universal Controller via the DataStage command-line interface (CLI). UAC workflows can be used to set up dependencies between DataStage jobs and other applications or platforms, and to trigger DataStage jobs from UAC — either time-based or event-based. Key Features: This Universal Extension provides the following key features: Ability to schedule, trigger & orchestrate the execution of Datastage jobs Monitor the DataStage job execution Resumes a restartable DataStage job from UAC (“-mode RESTART” to the parameters) Print DataStage job logs post-execution The benefits of using this integration include the ability to centralize control of DataStage jobs alongside other automated tasks within a data pipeline. Additionally, end-users can quickly root-cause errors, easily re-run jobs, and gain observability by managing DataStage jobs from within UAC. Check out this DataStage Job Scheduler article.

Key Features:

This Universal Extension provides the following key features:

• Ability to schedule, trigger & orchestrate the execution of Datastage jobs 
• Monitor the DataStage job execution 
•  Resumes a restartable DataStage job from UAC (“-mode RESTART” to the parameters) 
•  Print DataStage job logs post-execution