6 ways to reduce Snowflake costs

The text discusses ways to reduce costs in Snowflake, a cloud-based data warehousing platform. It explains how Snowflake pricing is based on compute, storage, and cloud services usage. Compute costs are determined by the time warehouses run, while storage costs depend on the amount of stored data. The text then provides six strategies to optimize Snowflake costs: changing warehouse size, decreasing the number of running warehouses, reducing sync frequency of data ingestion tools, decreasing the auto-suspend period, using materialized views, and altering the Snowflake account plan. These methods aim to balance cost reduction with maintaining performance in the data stack.