Introduction to Job Control Language (JCL)

An introduction to z/OS Job Control Language (JCL) that discusses the coding requirements for essential JCL statements and their use in utility programs.

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Relevant for professionals pursuing roles within Data Science.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Introduction to JCL : 16mins.
  • Defining Jobs : 30mins.
  • Defining Work to Be Run : 14mins.
  • Defining Data Sets to Be Used : 47mins.
  • Storing JCL for Batch Processing : 35mins.
  • Multi-step Jobs : 33mins.
  • Generation Data Sets : 18mins.
  • Utility Programs: Basic Data Set Functions : 34mins.
  • Utility Programs: IEFBR14, IDCAMS, and SORT : 15mins.
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Description

This course introduces the student to the Job Control Language (JCL) in z/OS. We will discuss the JOB statement, EXEC statement, and DD statements, as well as the use of generation data sets and the IBM standard utility programs. Numerous examples will illustrate the concepts being discussed with an opportunity to see how work is submitted and examined for successful completion, as well as some common errors that may occur.

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Introduction to Job Control Language (JCL)
4(50+ learners)