The Cost of Compute: Architecting High-Performance SQL in Distributed Lakehouses

In modern lakehouses like Snowflake and Databricks, inefficient SQL directly increases compute costs. This article breaks down advanced optimization techniques—from partition pruning and broadcast joins to clustering and caching—that reduce query time and spend. By treating SQL as a cost strategy, teams can build faster, scalable, and economically efficient data platforms.