In BigQuery, table partitioning divides a large table into smaller segments based on a column such as date, timestamp, or integer range. When a query filters on the partition column, BigQuery scans only the relevant partitions instead of the entire table. This reduces the amount of data processed, which improves query performance and lowers query cost since BigQuery pricing is based on data scanned.