Efficient and consistent data replication is essential for maintaining synchronized master data across heterogeneous SAP and non-SAP systems. SAP Master Data Governance (MDG) leverages the Data Replication Framework (DRF) to ensure that validated master data changes are accurately propagated to connected systems in a controlled and traceable manner. This article provides a detailed overview of configuring the DRF in SAP MDG to streamline data distribution.
The Data Replication Framework is a key component in SAP MDG designed to handle the extraction, packaging, and distribution of master data to multiple target systems. DRF automates replication while ensuring governance controls remain intact, supporting:
- Multiple target systems (SAP and non-SAP)
- Different replication scenarios (initial load, delta changes)
- Monitoring and error handling capabilities
- DRF Outbound Model: Defines which data is replicated, including the data model, replication mode, and target system details.
- Data Model: The governed master data structure that will be replicated.
- Target System: The receiving system where master data changes are applied.
- Replication Mode: Defines the type of replication, such as initial load or delta load.
- Distribution Model: Connects outbound models with specific replication settings.
¶ 1. Define Logical Systems and RFC Destinations
- Register and maintain logical system names in BD54 transaction for all involved systems.
- Create RFC connections to target systems using SM59 for communication.
- Access DRF configuration via transaction DRFOUT.
- Create a new outbound model or select an existing one corresponding to the master data domain.
- Assign the relevant MDG data model and specify the replication mode (e.g., Initial load, Change-only).
- Link the outbound model to the target logical system where data will be replicated.
- Specify technical parameters such as the distribution mode and transmission settings.
- Define filters to restrict data replication to specific subsets of master data (e.g., specific company codes or regions).
- This ensures only relevant data is distributed, optimizing performance and reducing unnecessary data transfer.
- In transaction BD64, create or update distribution models that map message types and logical systems.
- Ensure proper linkages between sending and receiving systems for master data messages.
¶ 6. Activate and Schedule Replication Jobs
- Activate outbound models after configuration.
- Schedule background jobs to trigger replication regularly or on-demand.
- Use transaction SM37 to monitor job execution.
¶ Monitoring and Troubleshooting DRF
- Use DRFMON transaction to monitor the status of data replication requests.
- Check for errors or stuck requests and analyze error logs for root cause.
- Common issues include communication errors, authorization problems, or data inconsistencies.
- Correct errors and reprocess replication requests to ensure data consistency.
- Start with Pilot Scope: Configure DRF for a limited data set to validate processes before full-scale rollout.
- Maintain Consistent Logical Systems: Ensure logical system names and RFC connections are correctly maintained.
- Document Replication Scenarios: Clearly document which data is replicated to which systems, including filter criteria.
- Coordinate with Target System Teams: Collaboration ensures readiness on receiving system sides.
- Regular Monitoring: Proactively monitor replication to avoid data delays or inconsistencies.
The Data Replication Framework (DRF) is a powerful enabler in SAP Master Data Governance for distributing validated master data changes efficiently across an enterprise landscape. Proper configuration of DRF ensures synchronized master data, supporting operational excellence and data integrity. By following the outlined steps and adhering to best practices, organizations can leverage DRF to streamline their master data replication and governance strategy.