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Distance-learning - z/OS: Job Control Language and Utilities

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MFOPS34

 z/OS: Job Control Language and Utilities
DURATION: 4 days

FEE: $2,780

PRIVATE GROUP FEE: $
Based upon a class size of six students.

Scheduling can be adjusted to employee work hours and incorporate client assignments.

SMALL CLASS SIZE:
There is a surcharge associated with training two or fewer students.

AUDIENCE:

  • Operations Support
  • System Programmer
  • Programmer
  • IT Professional
  
   

DATES:

 CONTENT AND OBJECTIVES:
    1. Running a z/OS Job
      • Code a JOB statement.
      • Determine the location of errors messages associated with a bad JOB card.
      • Code a JOB card that continues to the next line.
    2. Job Management
      • Code a complete job that executes the IEFBR14 utility.
      • Code a job that produces spooled output.
    3. Program Execution
      • Code a job that utilizes in-stream data.
      • Code a job to print a dataset using IEBGENER.
    4. Sequential Datasets
      • Delete a dataset using the IEFBR14 utility.
      • Copy an existing dataset to another dataset.
      • Append data to a dataset.
      • Copy several datasets into one dataset.
      • Display a list of datasets in the catalog.
    5. Create Datasets
      • Create and load a DASD sequential dataset.
      • Create a temporary dataset.
      • Create a dataset, load some data, and release any extra storage.
      • Execute IEHLIST to list a DASD VTOC.
    6. Sort Utility
      • Sort a populated dataset in ascending order with a single key.
      • Sort a dataset into a temporary dataset.
      • Print the sorted temporary dataset.
    7. Procedures
      • Review a sample procedure.
      • Override a DD statement.
      • Change the value of a symbolic parameter.
    8. Utilities
      • Perform the following: 1- Copy a sequential dataset into a member in a PDS. 2- Backup a DASD dataset to tape. 3- Copy all the members in a PDS into a backup file. 4- Copy selected members from a PDS into another PDS and rename some of the members. 5- Print all the members in a PDS. 6- Print a data report with subtitles for each column. 7- Create entries for a GDG. 8- Delete a member in a PDS. 9- Rename a dataset. 10- Sort a dataset. 11- Sort select records in a dataset. 12- Reformat the input record to a SORT. 13- Print a subset of records in a dataset using IDCAMS. 14- Create entries for a GDG using IDCAMS. 15- Delete a member in a PDS using IDCAMS. 16- Rename a dataset using IDCAMS.
    Virtual Classroom   Blended Learning    

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Instruction		 Asynchronous
Instruction

Effective February 27, 2012, the course dates listed on the CETi schedules only will be available based upon approved and authorized user ID.

Copyright Acknowledgement: The software product(s) listed in this outline are owned and copyrighted by their respective companies. CETi makes no representation regarding ownership in any of the software products that we train on.

CETi courses are not intended for or open to the general public. They are intended for employees of Fortune 1000 companies, government municipalities, consulting companies, software, companies, healthcare providers. and mid-sized businesses. Individuals attending such courses will be required to execute a statement acknowledging that the employer will be paying for the CETi course and that the employer has a licensed version of the software.

Certain courses only should be taught by the source software company training company and open source purveyor.