To build a reliable, scalable data warehouse for TerramEarth given the requirements, what should you do?

BigQuery is a fully managed, serverless, highly scalable, and cost-effective data warehouse designed for large-scale analytics, making it ideal for TerramEarth's requirements. Table partitioning further optimizes query performance and reduces costs by limiting the amount of data scanned. Using a Compute Engine instance, even with many CPUs, would require significant operational overhead for management, scaling, and maintenance, which BigQuery handles automatically. Federated data sources in BigQuery are for querying external data without ingestion, not for replacing the core data warehouse. Adding a preemptible instance is for cost-saving on fault-tolerant workloads, not for the core reliability of a data warehouse.