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🖥 Mainframe 🗄️ z/OS DSS ✔ 4 Levels Available

IBM z/OS Data Set Services
Full Programme

A structured four-level curriculum covering z/OS Data Set Services from foundational concepts through advanced backup strategies, enterprise disaster recovery design, automation, and leadership-level BC/DR integration. Designed for professionals targeting MNC mainframe storage and disaster recovery roles.

⏱
Total Duration
32 Hours
🧪
Lab Hours
16 Hours
🎯
Format
Theory + Lab
🏆
Certificate
Arich Certified
Enrol Now →
Course Code
IBM-ZOS-DSS
Click a Level to View its Syllabus
L1
IBM z/OS DSS · Beginner
32 hrs · 3 Modules · DSS Fundamentals
›
L2
IBM z/OS DSS · Intermediate
3 Modules · Backup Strategies
›
L3
IBM z/OS DSS · Advanced
3 Modules · Enterprise DR Design
›
L4
IBM z/OS DSS · Enterprise
3 Modules · DR Automation & Leadership
›
Read-Only · Table of Contents · IBM z/OS DSS
📄 IBM z/OS DSS — Beginner Level
L1
IBM-ZOS-DSS
IBM z/OS Data Set Services — Beginner
Total Duration: 32 Hours  |  Theory: 16 hrs  |  Lab: 16 hrs
01
Introduction to Data Set Services (DSS)
Theory: 5.3 hrs  ·  Lab: 5.3 hrs  ·  Total: 10.7 hrs
▼
Overview of z/OS DSS
Types of datasets (PS, PDS, VSAM)
Importance in system operations and disaster recovery
02
Backup & Restore Basics
Theory: 5.3 hrs  ·  Lab: 5.3 hrs  ·  Total: 10.7 hrs
▼
Basic backup strategies (full, incremental, differential)
JCL for creating backups
Key utilities (IEBCOPY, ADRDSSU)
03
Disaster Recovery Procedures & Drills
Theory: 5.3 hrs  ·  Lab: 5.3 hrs  ·  Total: 10.7 hrs
▼
Role of DSS in contingency planning
Disaster recovery drill participation
Documentation and recovery support tasks under supervision
32
Total Hours
16
Theory Hrs
16
Lab Hrs
Read-Only · Table of Contents · IBM z/OS DSS
📄 IBM z/OS DSS — Intermediate Level
L2
IBM-ZOS-DSS
IBM z/OS Data Set Services — Intermediate
Total Duration: 24 Hours  |  Theory: 12 hrs  |  Lab: 12 hrs
01
Designing Backup Strategies
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Creating full, incremental, and selective backup procedures using ADRDSSU and DFSMShsm
Data integrity validation
Scheduling backups via JCL
02
Disaster Recovery Planning & Infrastructure
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Identifying critical system datasets and infrastructure
Contributing to DR documentation
Plan development
03
Recovery Testing, Failover & Recommendations
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Performing recovery drills
Analyzing outputs and recommending improvements
Supporting controlled failover mechanisms (GDPS, automation, etc.)
24
Total Hours
12
Theory Hrs
12
Lab Hrs
Read-Only · Table of Contents · IBM z/OS DSS
📄 IBM z/OS DSS — Advanced Level
L3
IBM-ZOS-DSS
IBM z/OS Data Set Services — Advanced
Total Duration: 24 Hours  |  Theory: 12 hrs  |  Lab: 12 hrs
01
Enterprise DR Strategy Design
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Designing DR strategies across multiple LPARs and systems
Integrating DFSMShsm, ADRDSSU, and JES2/3 considerations
Developing cohesive recovery architecture
02
Testing & Optimization of DR Plans
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Planning and conducting DR drills
Using simulated failure scenarios to test recovery workflows
Analyzing test results to optimize recovery timelines
03
Documentation & Business Continuity Integration
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Creating and updating disaster recovery documentation
Collaborating with cross-functional teams
Aligning DR with broader business continuity goals
24
Total Hours
12
Theory Hrs
12
Lab Hrs
Read-Only · Table of Contents · IBM z/OS DSS
📄 IBM z/OS DSS — Enterprise Level
L4
IBM-ZOS-DSS
IBM z/OS Data Set Services — Enterprise
Total Duration: 24 Hours  |  Theory: 12 hrs  |  Lab: 12 hrs
01
Enterprise DR Framework Design
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Leading the architecture of DR frameworks across multi-LPAR, sysplex, and cloud-integrated environments
Ensuring regulatory compliance
Achieving executive alignment
02
DR Automation, Orchestration & Advanced Tooling
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Leveraging automation tools (e.g., GDPS, IBM Z System Automation, REXX) to orchestrate recovery
Building resilient, automated runbooks
Testing and validating orchestration workflows
03
Risk & BIA, Leadership & Industry Collaboration
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
▼
Performing risk assessments and business impact analyses
Developing enterprise-level documentation
Sharing BC/DR strategies with leadership and peers
24
Total Hours
12
Theory Hrs
12
Lab Hrs