SAP MDG on S/4 HANA Certification Program
This comprehensive course equips you with the skills needed to effectively implement SAP Master Data Governance (MDG) on the S/4 HANA platform. Perfect for aspiring professionals!
Program rating
1,945+
Learners enrolled
44 hrs
Total duration
English,Hindi
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This program includes
Program overview
About this program
This ERP program blends live, mentor-led sessions with hands-on projects and real-world case studies, so you build genuinely job-ready skills — not just theory. You'll learn from working industry experts, apply what you learn on practical assignments, and finish with a portfolio, a recognized certificate, and dedicated placement support to help you land the right role.
This comprehensive course equips you with the skills needed to effectively implement SAP Master Data Governance (MDG) on the S/4 HANA platform. Perfect for aspiring professionals!
This course dives deep into the SAP MDG functionality and its integration with S/4 HANA. Participants will learn about data modeling, governance processes, and how to utilize MDG to achieve effective data management. The curriculum is designed to prepare participants for the certification exam.
Why learners love this program
- End-to-end MDG on S/4 HANA implementation: data modeling, configuration, domain-specific master data (MDG-M, MDG-C, etc.), and integration with S/4 HANA processes.
- Governance, workflows, and data quality: design and implement governance processes, change request management, validations, rules, and stewardship to ensure accurate master data.
- Certification-focused hands-on training: exam-aligned curriculum with practical labs, real-world case studies, and mock tests to build readiness for the SAP MDG on S/4 HANA certification.
22
Lectures
44
Hours
All level
Level
Globally trusted accreditations
Recognitions that power your profile
Trusted by leading accreditation bodies — so your certificate is respected by employers worldwide.
Learning outcomes
What you'll be able to do
Curriculum
Structured modules that build real skills
16 modules · designed for progressive, hands-on learning.
What is SAP MDG?
Define Master Data Governance and explain its core purpose in enterprise data management.
Business value of Master Data Governance
Describe the business benefits of MDG including data consistency, compliance, and reduced operational risk.
MDG deployment options and landscape
Compare deployment options and landscapes for MDG and identify considerations for on-premise and cloud scenarios.
Key features of S/4 HANA for MDG
Summarize the S/4 HANA capabilities that enhance MDG functionality and system performance.
S/4 HANA data model differences
Identify major data model changes in S/4 HANA that impact master data design and integration.
Core architecture and layers
Explain the MDG system architecture and the roles of its core components.
MDG roles, services, and APIs
Outline available MDG services, APIs and how they support data operations and integrations.
Fiori and UI considerations
Describe Fiori UI options for MDG and best practices for user experience design.
Material and product master basics
Explain fundamental concepts for material and product master data and typical business attributes.
Business partner, customer, and supplier master
Describe the business partner model and differences between customer and supplier master data.
Data model concepts and entities
Describe entities, attributes, and relationships in MDG data modeling and how they form master data structures.
Reference and dependent objects
Explain reference objects and dependent entities and how to model their interactions reliably.
Change request types and modeling
Understand change request types, lifecycle and how they influence data model behavior.
Extending standard models
Demonstrate techniques to extend standard MDG models safely while preserving upgradeability.
Composite models and associations
Describe composite models, associations and navigation paths to represent complex master data relationships.
Modeling best practices
Apply best practice guidelines for maintainable and scalable MDG data models.
Approval workflows and BRFplus
Explain how approval workflows are configured and how BRFplus is used for decision logic.
Business rules and validations
Design rules and validations to enforce data quality and business policies within MDG.
Process monitoring and exception handling
Identify monitoring tools and strategies to handle exceptions and ensure process compliance.
Data validation and standardization techniques
Describe validation strategies and standardization methods to improve master data quality.
Matching and merging duplicates
Demonstrate matching and merge techniques to identify and resolve duplicate master records.
Integration patterns (PI/PO, CPI)
Compare common integration patterns and middleware options used to synchronize MDG with other systems.
Integration with SD, MM, FI
Explain how MDG integrates with SD, MM and FI modules to maintain consistent transactional data.
Real-time vs batch integrations
Assess trade-offs between real-time and batch integration approaches for master data replication.
Basic configuration steps
List key configuration activities required to set up MDG processes and master data governance policies.
Custom fields, UIs, and enhancements
Describe approaches to add custom fields and UI enhancements while following upgrade-safe practices.
Authorization and role setup
Define authorization requirements and role assignments to secure MDG functions and data.
Transport landscape and change management
Explain transport management and best practices for moving MDG configurations across systems.
Testing and quality assurance strategies
Outline testing approaches to validate MDG configurations, customizations, and integrations before go-live.
Standard reporting tools and Fiori apps
Identify standard MDG reporting capabilities and relevant Fiori apps for monitoring master data.
Custom reporting and analytics approaches
Describe how to build custom reports and analytics for master data insights using available SAP tools.
Performance tuning for MDG processes
Apply tuning techniques to optimize MDG performance for large volumes of master data.
Monitoring tools and logs
Use monitoring tools and log analysis to proactively detect issues and maintain system health.
Common errors and resolution techniques
Recognize frequent MDG errors and outline practical troubleshooting steps to resolve them.
Backup, recovery, and system health
Summarize backup and recovery considerations and practices to ensure master data availability.
Exam topics and blueprint review
Review the certification blueprint and map course topics to exam objectives to focus study efforts.
Study strategies and practice exams
Recommend study techniques and practice exam approaches to increase readiness and confidence for certification.
End-to-end create and governance scenario
Execute an end-to-end scenario to create master data and follow governance workflows in MDG.
Integration and replication exercise
Practice integrating MDG with a consuming system and validate data replication behavior.
Troubleshooting and optimization lab
Work through common issues in a lab environment and apply optimization techniques learned in the course.
Capstone: design and present a solution
Design a comprehensive MDG solution for a given scenario and present the approach and rationale.
Course review and next steps
Recap key concepts, identify further learning resources, and plan next steps toward certification.
Your credential
The certificate you'll earn
Earn an industry-recognized certificate on successful completion of this program.
Personalised guidance
Book a free discovery call with our specialists
Get tailored advice on learning paths, certification journeys, and industry opportunities before you enroll.
- Understand the skill gaps holding you back and the modules that close them.
- Get a cohort recommendation based on availability and your weekly bandwidth.
- Discover certification add-ons that strengthen your CV.
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Reviews
What our learners say
The SAP MDG on S/4 HANA course was very detailed and career-focused. The trainer explained master data consolidation, approval workflows, and governance scenarios effectively. The SAP MDG training improved my technical and functional knowle...
The SAP MDG on S/4 HANA course was structured in a very easy-to-understand way. The trainer explained workflows, BRF+ rules, and governance models with clarity. The SAP MDG training assignments were very helpful for practice.
The SAP MDG on S/4 HANA course was very effective for building my career in data management. The trainer explained all modules with real-world examples. The live projects in this SAP MDG training gave me confidence to work in industry roles...
I found the SAP MDG on S/4 HANA course very interactive and useful. The trainer explained consolidation, central governance, and integration with SAP applications in simple terms. The SAP MDG training examples gave me real exposure.
The SAP MDG on S/4 HANA course was comprehensive and career-oriented. The trainer covered data quality, validation rules, and change request management in detail. The practice labs in this SAP MDG training built my confidence.
The SAP MDG on S/4 HANA course was very detailed and well-structured. The trainer explained master data governance concepts, data modeling, and consolidation step by step. The assignments in this SAP MDG training helped me gain real-time ex...
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