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Video: You work at OceanFleet Logistics , a global gcp video

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You work at OceanFleet Logistics , a global shipping company. You need to train a predictive model on 40 TB of data to identify which ships in different geographic regions are likely to cause delivery delays on any given day. The model will incorporate several features from various sources, including hourly telemetry data from each ship. This telemetry includes GeoJSON-formatted location data. Additionally, you want to build a dashboard that displays which ships are likely to cause delays in specific regions. To support both prediction and geospatial analysis, you need a storage solution with built-in support for these capabilities. Which storage option should you choose?