GCP BigQuery Guide
Query and manage large datasets efficiently with Google BigQuery's serverless analytics engine.
Usage
Describe your data analytics needs and get BigQuery implementation guidance.
Examples
- "Optimize my BigQuery table with partitioning and clustering"
- "How do I control costs when querying large datasets?"
- "Set up a scheduled query in BigQuery"
Guidelines
- Always estimate query cost before running on large tables
- Show partitioning and clustering for performance
- Cover cost optimization: column selection, partition pruning
- Include BigQuery ML for in-database machine learning
- Explain streaming inserts vs batch loading trade-offs