Agentic Future Ready With BigQuery: Continually Improving Price-Performance, Zero Effort

In the modern data landscape, query performance tuning and managing system price-performance is challenging, especially as the number of agentic workloads increase. Even for experienced developers and DBAs, constantly analyzing query execution plans, tweaking schemas, and adding query hints with ever exploding volume, variety, and velocity of data is a never-ending cycle that drains business velocity. While performance tuning is a common practice, a modern data platform should do more. As data platforms evolve from systems of intelligence to systems of action, and analytics workloads shift fro