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For this question, refer to the TerramEarth case study. TerramEarth would like to reduce unplanned downtime for all its vehicles and preemptively stock replacement parts. To do this, TerramEarth has partnered with another firm to IoT enable all vehicles in the field. The telemetry data from vehicles is stored in the respective region buckets in the US, Asia and Europe. The feedback from most service centres and dealer networks indicates vehicle hydraulics fail after 69000 miles, and this has knock-on effects such as disabling the dynamic adjustment in the height of the vehicle. The vehicle design team has approached you to provide them with all raw telemetry data to analyze and determine the cause of this failure. You need to run this job on all the data. How should you do this while minimizing costs?