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You are a data scientist working for a media company that processes large volumes of video and image data to generate personalized content recommendations. The dataset, which is stored in Amazon S3, contains tens of millions of small image files and several terabytes of high-resolution large video files. The training jobs you run on Amazon SageMaker require low-latency access to this data and need to be completed quickly to keep up with the dynamic content pipeline. Given the characteristics of your data and the requirements for low-latency, high-throughput access, which approach is the MOST APPROPRIATE for this scenario?