Amazon SageMaker Batch Transform enables you to run predictions on datasets stored in Amazon S3. It is ideal for scenarios where you are working with large batches of data and don’t need sub-second latency. You can now configure your Batch Transform Jobs to exclude certain data attributes from prediction requests, and to join some or all of the input data attributes with prediction results. As a result, you no longer need additional pre-processing or post-processing when running batch predictions on data that is in CSV or JSON format.