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Ready to upgrade your legacy system? Discover different data migration types and choose the one that fits your migration needs.<br><br>For more information visit: https://www.augmentedtechlabs.com/blog/what-are-the-different-types-of-data-migration
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Different Types of Data Migration Data migration is complex. Over 80% of migrations fail or exceed budget. Each migration is unique. One wrong decision can lead to unexpected costs.
Storage Migration Storage migration moves data between storage locations. It upgrades outdated hardware to modern systems. It incorporates data protection measures. Use Case Benefits Considerations Migrating to cloud storage like Amazon S3 or Azure. Improved performance and data integrity. Minimize downtime and ensure scalability.
Database Migration Database migration transfers data between database systems. It often requires changes to data language or protocols. The change is also visible in the application layer. Use Case Benefits 1 2 Migrating from SQL Server 2008 to newer versions. Better performance and scalability. Considerations 3 Ensure data integrity and compatibility.
Cloud Migration Cloud migration moves data from on-premise to cloud platforms. It also includes migrating between cloud locations. The global cloud data migration services market will grow to $69.73 billion by 2032. Use Case Benefits Considerations Moving to AWS and Google Cloud Platform. Scalability and cost efficiency. Ensure data security and compliance.
Application Migration Application migration moves software between computing environments. It involves transferring data, configurations, dependencies, and interfaces. Use Case Benefits Considerations Moving legacy applications to cloud platforms. Cost savings and improved flexibility. Ensure data integrity and compatibility.
Business Process Migration Business process migration transfers business data, applications, workflows, and operations. It is usually done during mergers and acquisitions. Use Case Integrating workflows post-merger. Benefits Enhanced efficiency and cost optimization. Considerations Align processes with business goals.
Big Data Migration Big data migration moves structured, semi-structured, or unstructured data. You can move data between on-premise, legacy, cloud, and hybrid platforms. Migrating big data to cloud-based platforms. Reduced expenses and business agility. Opt for the right security measures.
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