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Scenario: You work for a global shipping company and need to train a model on 40 TB of data to predict which ships in each geographic region are likely to cause delivery delays. The model will be based on multiple attributes from various sources. Telemetry data, including location in GeoJSON format, will be pulled from each ship and loaded every hour. You need a dashboard that shows which ships are likely to cause delays within a region. You want to use a storage solution with native support for prediction and geospatial processing. Question: Which storage solution should you use for training the model and handling geospatial data?