A six-stage process for Data Migration

Our data migration services used a clear process to mitigate risks and maximize the opportunity of project success. These process have been applied by the consultants to deliver the migration of even most complex data. Lets have a look on those stages one by one...

Stage-1 : Configuration:

At the start of any data migration you need to carried out a structural configuration to ensure that all aspect of migration are functionally correct. This will include mainly as following...

- Ensuring the route of configuration defined.

- Ensuring that storage and version of projects artifacts are available.

- Ensuring that hardware is available and accessible

Stage-2 : Migration Design:

This stage covers extraction and cleansing of data, verification of the data and transformation of the data. These core steps follows our data migration methodology to enable a smooth data flow during the migration process.

Stage-3 : Testing Design:

The testing design stage defines an overall test plan for all stages of the migration.

This stage includes how each stage will be tested at unit level, followed by how the entire migration will be tested from start to end to ensure that it is functionally correct across the all component.

Stage-4 : Migration Development:

The migration is developed in stage using an Agile Methodology. This has proved a successful approach in migration where are number of stakeholders are involved. An Agile approach which is clearly visible across all the teams to ensure that all the risks are mitigated properly in process of data migration. This approach also enables those downstream, at the target end, to get actual data sooner for testing purposes.

Stage 5: Testing development

Testing is carried out within a test framework that can be provided or created for the purpose.  This framework allows unit tests to be run regularly to immediately highlight any issues that arise.

Stage 6: Execution

A number of dry runs will be defined to test the go-live strategy, allowing the go-live plan to be confirmed and refined as required.  The initial dry run may use only part of the sample data.  After an initial dry run, a test migration takes place.

This process helps ensure that the project is delivered successfully with minimum risk.