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

The rise of using serverless computing or  cloud computing, has sparked a renewed interest in data migration.  Data migration activities can be manual, automated or fielded out to a third-party vendor.

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)
• “The migration of on-premise systems to the public cloud.” (Gartner)
• When data is moved from one place to another. ( 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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