Background

Legacy modernization is an open-ended journey to streamline process efficiency, improve business performance and create new ways of serving customers. Data migration is a core need of legacy modernization / digital transformation.

Data migration is a process of transferring data from one system to another. It can be done in real-time or in batches depending on the size and complexity of the data. Data migration can be used for system merging, application upgrades and disaster recovery.

Types of Migrations

There are four main component migration 

1. Data Migration
2. Application Migration
3. Business Process Migration
4. Infrastructure Migration ( On prem to cloud , on prem – on prem , cloud to cloud , cloud to on prem)
   1. Storage
   2. Database
   3. Data Center
   4. Cloud Data

Data Migration is one of the final steps as part of the whole migration life cycle & we are going to cover data migration where source & target systems need to be live as well as system needs to perform complex transformation while migration.

Approaches

Data migration is an important process for businesses to move data from one system to another. It involves transferring data from one source to another in a secure and efficient manner. Data migration can be done in real time or batch mode depending on the needs of the organization.

Real time data migration allows for more flexibility and faster response times, while batch data migration is more suitable for large volumes of data that need to be moved over a longer period of time. There are several tools available that can help with the process, such as analytics engines and streaming data processing engines which can help move data from on-premises / Cloud systems to cloud without any downtime. System merging is also an option when migrating multiple systems into one unified platform.