Introducing Generative AI in DMS Schema Conversion
AWS Database Migration Service Schema Conversion (DMS SC) has evolved with an exciting new generative AI feature that revolutionizes database migration to AWS. This powerful addition specifically supports Oracle and SQL Server migrations to Amazon RDS and Aurora PostgreSQL, making the conversion process more efficient than ever.
How DMS SC with Generative AI Works
The integration of generative AI with DMS SC follows a sophisticated workflow that includes:
- Identification of objects with eligible action items
- Selection of optimal conversion rules
- Detailed variable and parameter description
- Data obfuscation for security
- LLM processing for syntax alignment
- Automatic statement conversion and de-obfuscation
Key Capabilities and Support
The new AI feature particularly excels in handling complex schema conversion scenarios, including:
- UPDATE, DELETE, and INSERT statements with subqueries
- PIVOT clause conversions for SELECT statements
- MODEL statement transformations
- Queries with NOCYCLE clause
- Built-in function conversions
Implementation Process
Enabling generative AI in DMS SC is straightforward. Users can activate it at both project and object levels through the AWS DMS console. The feature provides additional conversion recommendations for previously manual action items, significantly reducing the time and effort required for database migration.
Availability and Benefits
Currently available in US East (N. Virginia), US West (Oregon), and Europe (Frankfurt) regions, this enhancement streamlines the conversion workflow using best practices and researched results. It makes the migration process more efficient by providing compatible and useful code conversions aligned with DMS SC’s established patterns.
For database administrators and developers, this tool represents a significant advancement in automated database migration, offering both time savings and improved accuracy in schema conversion tasks.
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