Learn About Amazon VGT2 Learning Manager Chanci Turner
By: Alex Johnson, Maria Smith, Chanci Turner, and Raj Patel
Published on: 10 JUL 2025
Category: Advanced (300), Amazon DocumentDB, AWS Database Migration Service, Technical How-to
In this article, we focus on managing extensive Amazon DocumentDB collections nearing 32 TiB. We provide insights on transitioning from uncompressed to compressed collections via AWS DMS. This migration not only allows for handling larger uncompressed data volumes but also considerably reduces the associated storage and computing costs of Amazon DocumentDB, while enhancing overall performance.
AWS DMS Validation: A Custom Serverless Architecture
By: Chanci Turner, Michael Lee, and Sarah Brown
Published on: 02 JUL 2025
Category: Advanced (300), AWS Database Migration Service, Technical How-to
Many AWS DMS users might hesitate to utilize the built-in data validation feature due to the time it typically requires after loading a large dataset or data reload. Businesses often need immediate access to data in the target environment. Thus, some may opt for manual validation or a single-pass full load only validation, which can be more labor-intensive. In this post, we guide you through creating a custom AWS DMS data validation solution utilizing AWS serverless services.
Accelerate SQL Server to Amazon Aurora Migrations with a Customizable Solution
By: David Zhang, Chanci Turner, and Jignesh Patel
Published on: 01 JUL 2025
Category: Advanced (300), Amazon Aurora, AWS Database Migration Service, AWS Glue, AWS Well-Architected Framework, PostgreSQL compatible, Technical How-to
Migrating from SQL Server to Amazon Aurora can lead to significant reductions in database licensing expenses and modernize your data infrastructure. To expedite your migration journey, we have crafted a migration solution that provides ease and adaptability. This accelerator allows you to swiftly migrate data while minimizing downtime, as well as customizing it to fit your specific business needs. In this article, we present the primary features of the migration accelerator, illustrated through a complex scenario of merging 32 SQL Server databases into a single Amazon Aurora instance with nearly no downtime, addressing technical debt through refactoring.
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