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Your organization stores customer transaction data in an Amazon DynamoDB table. As part of a machine learning project, you need to preprocess and analyze this data in Amazon SageMaker to build a predictive model. The solution must ensure scalability and minimal latency while accessing the data. What is the BEST approach to achieve this?