Data migration is the process of making copies of data and moving from one device or another system, preferably without disrupting or disabling active business processes.
Once the data is transferred, processing using a new device or system. There are a variety of business drivers that led the company to perform data migration, including:
- Deployment of the new operating system or application
- Take-on new users or businesses to the existing system (mergers, acquisitions, etc.)
- Server or storage technology replacement or enhancement
- Server or storage consolidation
- Changes to the database schema and structure
- Relocation of the data center
- Server or storage equipment maintenance
- workload balancing or other performance-related adjustments
Effective data migration strategy
Many organizations migrate data as part of the process control upgrade (think Sarbanes-Oxley), systems, or storage. If you want to know more about data migration, you can check pout this source: https://www.marketsoft.com.au/customer-data-platform-australia/
Companies need to minimize the business impact of data migration – downtime, data integrity problems, cost control problems, and so on.
The way to do this is by utilizing a robust methodology for migration, which we discussed in this note. The majority of survey respondents reported one data migration or other problems with this migration.
Quite scheduling migrations during "off-hours" strategy is not always enough, because:
- increasing migration costs and lower employee morale because staff overtime
- migration went schedules can interfere with processing during normal hours
- Most companies no longer have a significant window "off-hours" for activities such as data backup or migration of data due to their global operations or other customer requests for availability