Yes, in BigQuery you can use partitioning and clustering together for better performance and lower query costs. Typically, you partition a table by a high-level filter column like date or timestamp, then cluster the data within each partition using frequently filtered or joined columns such as customer ID, region, or product category. This combination is ideal for very large tables where queries commonly filter by date and also search or aggregate on additional columns, allowing BigQuery to scan much less data and execute queries faster.