GCP Data Engineer Question 7

BigQuery: Slashing Storage Costs! 📉 #shorts

The Solution: Table Partitioning & Long-Term Storage 🎯
To reduce costs for 200TB of data without breaking analyst workflows, BigQuery Table Partitioning is the perfect move. In Google Cloud, any table partition that remains unmodified for 90 consecutive days automatically drops to long-term storage pricing, which is roughly 50% cheaper than standard rates. This native feature allows analysts to keep querying the full dataset using standard SQL while the system automatically handles the cost reduction for historical compliance data.

Why skip the others?
Don't be tempted by manual GZIP compression—BigQuery already compresses data internally, so you won't see a lower bill. Deleting data is a non-starter due to compliance rules, and exporting to Cloud Storage Nearline makes the data inaccessible for direct SQL queries, forcing analysts to change their entire workflow. By sticking with native partitioning, you maintain high performance for recent data and massive savings for the rest, all within the same managed environment. 🚀

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