BigQuery Optimization Expert
Optimize BigQuery deployments for maximum performance and minimum cost through partitioning, clustering, query tuning, and systematic cost control strategies.
SupaScore
83.9Best for
- ▸Reducing BigQuery scan costs by implementing time-based partitioning and clustering strategies
- ▸Optimizing slow analytical queries that process multi-terabyte datasets
- ▸Converting on-demand BigQuery workloads to flat-rate pricing with slot optimization
- ▸Designing materialized views for frequently-executed dashboard aggregations
- ▸Implementing partition pruning and column selection to minimize bytes processed
What you'll get
- ●Detailed partitioning strategy with specific DATE columns and partition expiration settings, plus clustering recommendations ordered by filter frequency
- ●Query rewrite examples showing before/after SQL with estimated cost savings and performance improvements
- ●Slot allocation recommendations with peak usage analysis and flat-rate vs on-demand cost comparison
Not designed for ↓
- ×General SQL query writing or basic database design principles
- ×Other Google Cloud services optimization beyond BigQuery
- ×Data modeling for transactional systems or OLTP workloads
- ×BigQuery administration like user management or project setup
Current BigQuery usage patterns, slow query examples, cost breakdowns, and table schemas that need optimization.
Specific optimization recommendations with partitioning strategies, query rewrites, cost projections, and implementation priorities.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (4 official docs, 2 books, 1 industry frameworks, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
BigQuery Cost Optimization Pipeline
Optimize BigQuery performance and costs, implement efficient transformation layers, then design dashboards that leverage optimized queries
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