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TerramEarth manufactures heavy equipment for the mining and agricultural industries. They have 20 million vehicles in operation that collect 120 fields of data per second, resulting in about 9 TB/day from connected vehicles. They aim to decrease unplanned vehicle downtime to less than 1 week, support the dealer network with usage data, and partner with other companies for joint offerings. Considering these requirements, how should you reduce the unplanned vehicle downtime in GCP?
A
Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.
B
Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.
C
Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a Multi-Regional Cloud Storage bucket. Upload this data into BigQuery using gcloud. Use Google Data Studio for analysis and reporting.
D
Use Cloud Dataproc Hive as the data warehouse. Directly stream data into partitioned Hive tables. Use Pig scripts to analyze data.