Denormalizing data in BigQuery can be achieved through two primary methods. The first method involves combining tables into a single table, which simplifies queries by reducing the need for joins. The second method leverages BigQuery's support for nested and repeated fields, allowing for a more natural representation of hierarchical data structures, such as sales orders with line items. These approaches enhance query performance and data accessibility. For more details, refer to BigQuery Data Warehouse Solutions.