Splitting a table into multiple tables (e.g., one table per day) allows queries to target specific tables, thus reducing processed rows. Partitioning offers a more efficient approach by organizing data into segments, such as by day, without the need for multiple tables. The LIMIT clause does not reduce processing as BigQuery still scans the entire table. For more details, refer to BigQuery's documentation on partitioned tables.