Data warehouse architecture organises analytical data for efficient querying and reporting. Posts cover BigQuery as a data warehouse platform, FinOps cost attribution, and the storage and query patterns that make large-scale analytical workloads both performant and cost-effective.
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Architecture decisions that delivered multi-million dollar savings at petabyte scale.
Architecture decisions that delivered 57% cost reduction on a Fortune 500 BigQuery data warehouse. The MERGE anti-pattern fix, partition strategy, capacity model, and the trust gap I'd handle differently next time.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.