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Product launchData engineering & the warehouse/lakehouseAmazon
AWS Big Data Blog · Read source ↗

Amazon has announced a new zero-ETL integration for Aurora PostgreSQL with Amazon SageMaker, allowing operational data to be replicated to a lakehouse in near real-time. This integration aims to eliminate the need for custom ETL pipelines, utilizing architecture and change data capture mechanisms.

MyDataWork POV — While Amazon's zero-ETL integration between Aurora PostgreSQL and SageMaker sounds enticing, the reality of 'zero-ETL' as a concept raises skepticism. ETL has long been the backbone of data integration, and calling this process 'zero-ETL' seems like a marketing spin more than a technical breakthrough. Without a clear demonstration of how it handles complex data transformations and ensures data integrity in real-time, it's hard to see this as the silver bullet for data replication challenges. The promise of near real-time replication is appealing, but it's unproven if it can match the nuanced needs of varied data environments without manual tweaking.
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