Parallel Data Migration
In the Parallel Data Migration strategy, both old and new systems run simultaneously while data is imported into the new system. When all issues are resolved and the new system is working smoothly, it will replace the old system.
This approach contains the following steps:
- Planning: This step involves determining migration goals and gathering resources for old and new systems.
- Data synchronization: A data synchronization mechanism must be established between the old and the new system.
- Parallel work: Make sure the old and the new systems run simultaneously.
- Monitoring: Regular monitoring of data consistency and system performance.
Example: Suppose a large financial institution upgrades its banking system to a new DB. During the migration, both the old and the new DB run parallelly.
What are the Strategies for Data Migration in DBMS?
Data Migration means moving digital data. It is the process of transferring data to a different location, file type, media, storage system, database or application. Almost every company regularly migrates data due to system upgrades, increased data volume, improved system performance, and business process changes.