z/OS background and history; MVS main memory and virtual storage; MVS versions; Address space layout; Common area; Private area; Main components of z/OS; z/OS processing environments: On-line, TSO, ISPF, Batch; MVS spooling; Other program products and their functions.
Introduction to z/OS Job Control LanguageBasic job structure; Job stream processing; JCL output; JCL statement types; JCL statement format and coding rules; JES2 control statements; JES3 control statements; JCL error points.
The JOB StatementThe JOB statement overview; Accounting information - positional; Programmer's name - positional; Keyword parameters; Other keyword parameters; Example JOB statements.
The EXEC StatementThe EXEC statement; EXEC format - program; EXEC format - procedure; EXEC keyword parameters; Other EXEC keyword parameters; COND parameter; EVEN or ONLY; Example EXEC statements; EXEC statement summary.
Printing & In-stream DataPrint files & In-stream data; Printing: Examples, DEST, COPIES, DCB; Output statement; OUTPUT statement: Implicit, Explicit, Multiple output; Output statement parameters; Examples; OUTDISP parameter; In-stream data.
The DD StatementThe DD statement; DD parameters: DSN, DISP, UNIT and VOL; SMS considerations; DD statement summary: Existing catalogued dataset, Existing non-catalogued dataset.
The DD Statement - Working with DatasetsDataset types; Sequential datasets; Partitioned Data Sets; VSAM datasets; BUFNO; Accessing existing datasets; Creating new non-VSAM datasets; Data Control Block parameters; SPACE parameter; Space allocation DSCBs; System Managed Storage: Disk datasets with SMS, Space allocation with SMS. DCB parameters with SMS; Creating VSAM datasets in JCL; Generation datasets; SMS GDG considerations; Stages in creating a generation dataset; Tape datasets; . LABEL parameter; DD statement summary; Creating a new dataset on disk - non-SMS; Creating a new tape dataset.
Further DD ConsiderationsSpecial ddnames; JOBLIB; STEPLIB; Dump datasets; Concatenated datasets; Temporary dataset names; Dummy datasets.
ProceduresJCL procedures; In-stream procedures; What a catalogued procedure cannot contain; Cataloguing a procedure; INCLUDE statement; Calling a procedure; Symbolic parameters; Examples of symbolic translation; Default parameters; Resolving symbolic parameters; SET statement; Modifying EXEC statement parameters; Modifying DD parameters; Concatenated data sets; Adding DD statements; Substitution prefixes; Using a standard COBOL compile/link/go procedure.
Conditional JCL StatementsThe general construct; Name field; Relational-expression field; Relational-expression keywords; Comparison operators; Logical operators; NOT operator; Order of priority of operators; Parentheses; THEN and ELSE clauses; Contents of THEN and ELSE clauses; IF/THEN/ELSE/ENDIF and COND.
Common MVS Abend CodesProblem handling; Program abends; Common MVS completion codes.
Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led z/OS JCL Workshop Part 1 - Foundation Skills Training in Australia. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.
Immerse yourself in our most sought-after learning style for z/OS JCL Workshop Part 1 - Foundation Skills Training in Australia. Our hand-picked classroom venues in Australia offer an invaluable human touch, providing a focused and interactive environment for professional growth.
Streamline your organization's training requirements with Bilginc IT Academy’s Onsite z/OS JCL Workshop Part 1 - Foundation Skills Training in Australia. Experience expert-led learning at your own business premises, tailored to your corporate goals.
Join our public courses in our Australia facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
Australia’s technology scene is a powerhouse of innovation in the Southern Hemisphere, with Sydney, Melbourne, and Brisbane acting as world-class centers for fintech, cloud computing, and software development. The nation’s digital economy is supported by top-tier academic institutions like the University of New South Wales (UNSW) and the University of Melbourne, which foster a culture of research excellence in Cybersecurity and Artificial Intelligence. Australia has become a global leader in mining-tech and sustainable energy software, requiring a workforce that is proficient in the latest DevOps and Data Science frameworks. Our training solutions in Australia are designed to meet these high industry standards, offering specialized certifications that empower professionals to lead digital transformation projects across the Oceania region. We provide the technical expertise necessary to excel in a highly competitive and digitally integrated market that consistently attracts global tech investment.