Query optimization refers to the process of modifying and structuring SQL queries in a way that makes them execute more efficiently on Snowflake. This can involve several strategies, such as selecting only the necessary columns, using joins effectively, filtering data early in the query, and leveraging Snowflake's specific functions and features. The goal of query optimization is to reduce the amount of data scanned, compute resources used, and overall execution time, thereby improving performance and potentially reducing costs.
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