Parallel jobs
Executed under control of DataStage Server runtime environment
Built-in functionality for Pipeline and Partitioning Parallelism
Compiled into OSH (Orchestrate Scripting Language)
Runtime monitoring in DataStage Director
Job Sequences (Batch jobs, Controlling jobs)
Master Server jobs that kick-off jobs and other activities
Can kick-off Server or Parallel jobs
Runtime monitoring in DataStage Director
Container is a group of stages and links.
Types of containers
1.local
2.shared
Local containers: Main purpose of local container is to convert the complex job design in to simple readable job design.
Shared containers: it is similar to local container but we can reuse it in many numbers of jobs in the same project.
A job sequence allows you to specify a sequence of Data Stage jobs to be executed, and actions to be taken depending on results.
Server jobs (Requires Server Edition license)
Executed by the DataStage Server Edition
Compiled into Basic (interpreted pseudo-code)
Runtime monitoring in DataStage Director
Mainframe jobs (Requires Mainframe Edition license)
Compiled into COBOL
Executed on the Mainframe, outside of DataStage