Data Migration: Its Strategies
Bangalore: Various business organizations are involved in transferring data from one system to the other. However, if the size of the data is large, the time taken to transfer would be more as compared to a smaller size data. Different data migration strategies have been developed depending on the size of the data and are available in the market to help businesses with the task of transferring data. During the process of migrating the data, there may be some interference which will lead to problems after the migration. In this case, they also depend on data cleansing services.
Business intelligence services will help companies understand the strategy of the data. They can decide which services to use for their data. Informatica, a data integration company provides technical training services for those who would like to know more about data migration. Various training sessions are also available online. The Websphere online training course targeting people who would like to learn from home also trains about the data transfer.
Data Migration Approaches:
The following approaches will help one execute data migration projects.
Planning: - Before you start migrating your data, you would need to develop the strategy and approach, the scope, the schedule, the plan, technical requirements and the execution plan.
Analysis and Des ign: - T he next step is to analyzed the information and design the strategies.
Rehearsals:- Rehearsing the data migration process will help verify the migration procedures and later benchmark the cycle time for the task.
Pilot Migration:- Tests the migration process by doing a migration in the pilot environment.
Live Migration:- After ensuring that the process can be done without any interference, the real and full scale migration can be done.
Data Migration Phases:
Soumendra Mohanty, a senior executive and Global AIMS lead at Accenture provided a flowchart in his article in information-management.com to explain the data migration phases.
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