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The Foundations of a Function in AWS; Technical requirements; Learning about AWS Lambda; Setting up security; Invoking Lambda functions; Anatomy of a Lambda function; The programming model; Writing your first Lambda function; Summary;.

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SageMaker Batch Transform creates a fleet of containers to run parallel processing on objects in S3. Batch Transform is best used when you need a custom image or to load large objects into memory (e.g., batch machine learning). If the process is not parallel across files, use SageMaker processing, which will allocate a machine and make S3 files.

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In micro-batch processing, we run batch processes on much smaller accumulations of data – typically less than a minute’s worth of data. This means data is available in near real-time. In practice, there is little difference between micro-batching and stream processing, and the terms would often be used interchangeably in data architecture.

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