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You are developing a predictive maintenance system for industrial machinery using a dataset stored in Amazon S3 that contains both real-time sensor readings and extensive historical maintenance records. Real-time data retrieval and prompt analysis are critical for your model's success. What is the best strategy to optimize data access and processing speed in this scenario?