Data Migration describes transferring data between storage types, formats or computer systems with as little change as possible. Due to acquisitions, relocation, or outgrowing a current system, companies find the need to migrate data. More than just a “lift and shift” approach, good Data Migration catalyzes rethinking of Data Strategy and Data Architecture through:
- Upgrading performance.
- Removing the risks posed by unusable and inconsistent content.
- Increasing the partnership between IT and business.
- Rethinking and doing data processes.
- Making data assets more usable for the organization.
Other Definitions of Data Migration Include:
- Process of translating data from one system to another when a company replaces the current computing system with a new one. (PharmaiQ)
- The process of updating an application from a prior release to a newer release. (AutoDesk)
- “Moving content from one place to another.” (Duncan Bradley, DATAVERSITY®)
- “The migration of on-premise systems to the Public Cloud.” (Gartner)
- When data is moved from one place to another. (Dynamics 365 Community, Microsoft)
Data Migration Case Studies Include:
- A large sporting goods retailer who wanted to free-up on premises storage space.
- A pharmacy replaces the current computing system with a new one.
- A vendor has innovated and released new products or upgrades to help customers get an advantage.
Businesses Need Data Migration to Deal With:
- Server or storage upgrades.
- Equipment replacements or upgrades.
- Website consolidation.
- Server maintenance.
- Data center relocations.
- Redundancy to reduce the risk of failure.
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