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Answer: Splitting tables into multiple tables; putting data in partitions
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](https://cloud.google.com/bigquery/docs/partitioned-tables).
Author: LeetQuiz Editorial Team
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What strategies can effectively reduce the number of rows processed by BigQuery?
A
Using the LIMIT clause
B
Splitting tables into multiple tables; using the LIMIT clause
C
Putting data in partitions; using the LIMIT clause
D
Splitting tables into multiple tables; putting data in partitions
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