dltHub’s Post

How to optimize google BigQuery costs? 🔍For Analysts ● Skip `SELECT *`—query only what you need. ● Use cached results for dashboards. ● Know if your pricing is **on-demand** (per byte) or **flat-rate** (monthly slots). 🔧 For Engineers ● Set data expiration on tables and partitions. ● Use batch loading over streaming to cut costs. ● Partition & cluster data for efficient queries.      📊 For Managers ● Monitor query costs with "max bytes billed." ● Push for long-term storage discounts (50% off after 90 days). ● Choose pricing models based on workload patterns.      What is free? Free operations include batch loading, exports, metadata ops, cached queries, and first 10 GB/month storage + first 1 TB queries/month (on-demand users benefit).

mahdi ghaderzadeh

Data Management Team Lead | Data Architecture

1w

Very informative

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