In this article, we discuss techniques for optimizing queries in BigQuery to improve performance and reduce costs. These include selecting only the necessary columns and rows, avoiding join anti-patterns, choosing appropriate operators, and following SQL best practices. Additionally, we cover the benefits of using SQL for user-defined functions, minimizing data shuffling, and utilizing caching mechanisms effectively. By implementing these strategies, users can optimize their workloads on BigQuery in a cost-effective manner.