What Are the Different Types of Data Migration?
                     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 It upgrades outdated hardware to modern systems.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 Improved performance and data Minimize downtime and ensure 
Amazon S3 or Azure. integrity. 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.
1 Use Case 2 Benefits
Migrating from SQL Better performance and 
Server 2008 to newer scalability.
versions.
3 Considerations
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 Scalability and cost efficiency. Ensure data security and 
Platform. compliance.
Application Migration
Application migration moves software between computing 
environments. It involves transferring data, configurations, 
dependencies, and interfaces.
Use Case Benefits Considerations
Moving legacy Cost savings and Ensure data 
applications to improved flexibility. integrity and 
cloud platforms. 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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