Big Bang Data Migration
Big Bang migration is the process of moving applications and database (DB) data from the old system to the new system at a specific point in time. It is a single-step process.
It can be achieved by the below steps:
- To begin with, analyze the system data samples and plan the data migration based on the analysis. You can recommend the new architecture and estimate the cost of the migration and timelines.
- At this stage, you can implement the recommended architecture and test the already analyzed data samples. Also, check the selected migration tool details and working methodology. This stage generally takes more time because you should gather entire system details. Now pre-migration steps are over.
- Now migrate all the data at once from the source to the new system. So system downtime is minimal.
- Let users verify the migration result. If the data migrated properly, turn off the source system.
Example: Let’s say sports content has been stored in a private location (Oracle DB) for many years and they decide to transfer all data to a new database (cloud-based Microsoft SQL Server DB).
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.