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Course Overview Gain an understanding of the Tivoli Workload Scheduler (TWS) features, environment, and new terminology. Students will learn about the new. Job Scheduling Console and how the new Time Zone feature enhances TWS. Audience New Tivoli Workload Scheduler users seeking proficiency in the TWS 8.2 environment on Unix and Windows NT platforms. Existing schedulers, operators and their supervisors/managers at sites converting from previous versions of Tivoli Workload Scheduler. Anyone who needs detailed guidance on how to use Tivoli Workload Scheduler 8.2. Prerequisites Basic understanding of production management and "batch processing" scheduling. Knowledge of current production job processing flow in the local environment where Tivoli Workload Scheduler will be implemented. Knowledge of file navigation, file editing, and command prompt actions for the operating system to be used (Unix or NT). Skills Gained - Define TWS terminology
- Filter displayed Database and Plan information using list groups and list properties
- List, describe, and specify properties and external dependencies for Jobs and Job Streams
- Navigate and utilize the TWS Job Scheduling Console (JSC) interface
- Change TWS workstation properties, execute workstation processes, and explain the implications
- Monitor Job Stream instances, Job instances and objects on the current Plan list using the JSC
- Discover and overcome problems with Job Stream execution
- View and print Job Stream documentation, Job instance output and TWS standard reports
- Stop and start TWS processes, link and unlink workstations
- Configure TWS Job automated recovery options
- Construct a Processing Flow Diagram and general Job Stream processing Plan
- Understand how to optimize TWS Job Streams and to make them system-independent
Course Outline - TWS Scheduling and Objects Overview
- Plan Monitoring and Management
- Plan Problem-Solving Approaches
- Submitting Additional Work
- Job Stream Objects
- Job Stream Planning
- Creating and Optimizing Job Streams
- Job Stream Problem Solving Approaches
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