Several systems are getting migrated to latest technologies these days. Cloud enablement is one of the major reasons for migration. The other reasons being cost reduction, productivity improvement, and flexibility in managing data. When a system gets migrated, the data held by the system cannot be ignored and needs to be migrated. The data migration process involves huge risks because of the high volume and criticality of the data to be migrated. The data consists of both business data and customer data. Business intelligence is contained in the business data, which is mainly the rules and parameters used for the successful processing of the application; whereas the customer data includes data such as buyer demographics and consumer ratings. There are several steps involved in the successful migration of data from one system to another.
First and foremost is the planning and determination of the scope of the migration. Once the scope is identified, we can to list out the components with the help of SMEs and people working on the system. Planning should be done for allocating the resources, including the tools and the phases of data migration. This includes the final step of the actual migration of production data, which may impact the availability or downtime of the system. Plan in such a way that the business continuity is interrupted at a minimum level.