Denormalization boosts query speed significantly for tables containing billions of rows, as BigQuery's efficiency decreases with JOIN operations on large tables. A denormalized structure eliminates the need for JOINs by consolidating all data into a single table, thereby simplifying queries by removing the necessity for JOIN clauses. However, it's important to note that denormalization leads to increased data processing and storage demands due to the creation of redundant data. For more details, refer to: BigQuery Data Warehouse Solutions.