In this session, learn how AWS zero-ETL integrations remove the need to manage complex data movement pipelines across multiple source database engines and targets so data engineers, architects, & DBAs can eliminate maintenance overhead while ensuring near real-time data availability for analytics & ML workloads. Examine the underlying architecture and how it works for the supported zero-ETL integrations between Amazon Aurora, Amazon DynamoDB, and Amazon RDS sources to Amazon Redshift, Amazon SageMaker, and Amazon OpenSearch Service targets - all without traditional ETL complexity. Dive into the data movement options, tunable settings, and how to monitor ongoing data movement.

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