You are using your own data to demonstrate the capabilities of BigQuery to your organization’s...

Comprehensive and Detailed In-Depth Explanation:

A one-time load with minimal effort points to a simple, out-of-the-box tool. The files are local, so the solution must bridge on-premises to BigQuery easily.

Option A: A Python script with the Storage Write API requires coding, setup (authentication, libraries), and debugging—more effort than necessary for a one-time task.

Option B: Dataproc with Spark involves cluster creation, file transfer to Cloud Storage, and job scripting—far too complex for a simple load.

Option C: The bq load command (part of the Google Cloud SDK) is a CLI tool that uploads local files (e.g., CSV, JSON) directly to BigQuery with one command (e.g., bq load --source_format=CSV dataset.table file.csv). It’s pre-built, requires no coding, and leverages existing SDK installation, minimizing effort.