BMC Control-M Training

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Course level:Intermediate

BMC Control-M is a popular enterprise job scheduling and workload automation solution used to automate and manage complex workflows across systems and applications.

BMC Control-M Training
BMC Control-M Training – Learn Online

Why should you choose Nisa For BMC Control-M Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on BMC Control-M Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

  • We receive your inquiry for Online Job
  • We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
  • If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
  • We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

BMC Control-M Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.

COURSE CONTENT :

1. Introduction to BMC Control-M
  • Overview of workload automation and job scheduling
  • Control-M architecture: components and their roles (Control-M Server, Control-M/Agent, Control-M/Enterprise Manager)
  • Benefits of using Control-M for enterprise job scheduling
2. Control-M Components
  • Control-M Server: The core engine that manages and processes jobs.
  • Control-M/Agent: Installed on target machines, it executes the jobs on remote systems.
  • Control-M/Enterprise Manager: The web-based user interface used for monitoring and managing job scheduling.
  • Control-M/EM Web: A browser-based interface for job management.
  • Control-M/Automation API: For integrating and automating with other tools and applications.
3. Job Scheduling
  • Creating, modifying, and scheduling jobs
  • Defining job types (e.g., system jobs, script jobs, application jobs)
  • Setting up job dependencies and conditions
  • Recurring job schedules and calendar management
4. Job Monitoring
  • Tracking job statuses and logs
  • Troubleshooting failed jobs
  • Alerts and notifications for job failures or completions
  • Viewing and managing job outputs
5. Advanced Features
  • Job dependencies and event-based scheduling
  • Workflow automation and chaining jobs
  • Control-M/CM for cross-platform workload automation
  • Use of Control-M APIs for integrations and automation
6. Control-M/Automation
  • Introduction to Control-M Automation
  • Automating repetitive tasks using predefined templates
  • Creating custom jobs and workflows through the API
  • Integrating Control-M with cloud-based systems and platforms (e.g., AWS, Azure)
7. Error Handling and Recovery
  • Defining job failure recovery processes
  • Managing retries and job failover processes
  • Using the Control-M Job Monitoring Dashboard for error resolution
8. Security and Access Management
  • Setting up user roles and permissions
  • Managing security policies for job execution
  • Auditing and logging activities for compliance
9. Control-M for Cloud and Virtual Environments
  • Integrating Control-M with cloud-based infrastructures (e.g., AWS, Azure)
  • Managing jobs and workflows in virtualized environments
10. Reporting and Analytics
  • Generating job execution reports and status reports
  • Using Control-M Analytics to gain insights into job performance and trends
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