Data Migration from one data storage to another can be fairly simple for small and medium data sizes. But for companies which combat with data deluge, it can be prove as an intricate job.
Generally, large data sets will need special hardware and configurations in order to efficiently process the migration in a speedy way. This process of migration is usually performed when companies upgrade their workstations to new ones therefore creating the need to migrate data from old systems to new ones. Since the process will require systems to dedicate the task to migration, “downtime” is crucial and should be as short as possible.
In today’s world, where data carries a lot of business value, zero downtime is always preferred by companies, irrespective of size and vertical they are into.
But if, proper planning is missing in data migration process, the entire process can fall into jeopardy. The reasons for such failures are generally as follows-
- The copy process fails.
- The server crashes.
- The target storage device crashes or becomes unreachable.
- A minor data center issue like array failure occurs.
- A major data center issue occurs like complete system failure, power backup failure and so on…
- Bad data from the start or gets corrupted during migration.
In data migration scenarios, companies doing data migration feel the risk of data integrity like data is current, accurate or complete.
Therefore in order to protect data during migration, one should follow these five best practices—
Understand, select and locate data to migrate at the outset- Always make sure that what data is being migrated, where is it going to reside, what form its in and the form it will need to take when it arrives at its destination.
Extract, clean and transform and de-duplicate the data – All data has problems and so while migrating, take this process as an opportunity to clean up the data.
Move the data in a systematic way by enforcing data migration policies – Always make sure that data migrations are done at overnight hours, when network usage is low and won’t interfere with your project.
Test and Validate – Always make sure to test the migrated data to ensure it’s accurate and in the expected format. Without testing and validating the migrated data, you can’t be confident in its integrity.
Audit and document the process – Regulatory compliance requires you to document each stage of the data migration process and to preserve a clear audit trail of who did what to which data and when.
Have a support on hand post migration – If the data migration process is being done by a dedicated project team, then ensure that the team support is available during a post-implementation period to mitigate this risk.
DNF Professional services, a business unit of Dynamic Network Factory offers professional services team to help companies migrate their data from one environment to another in the shortest amount of time. A highly qualified consulting engineer will guide the organization through the migration process with the least amount of disruption to your end users and your overall business environment.
As each migration is unique and requires a comprehensive migration plan, it has to be done in a technically sound manner. The fundamentals to consider include available migration strategies, migration issues, migration methodology and the critical data involved.
DNF RADIM methodology uses the best industry practices for risk mitigation and data integrity – before, during, and after the migration.
For more details call 510.265.1122 or click on DNF Professional Services for Data Migration.