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A marketing analytics team is building a dashboard to track campaign performance. They have campaign data stored in Snowflake, including cost, impressions, clicks, and conversions. The data is currently stored in a single table, 'CAMPAIGN DATA, with columns like 'date', 'cost', 'impressions', 'clicks' , and 'conversions'. They want to optimize query performance for various aggregations and time-series analysis. Which of the following strategies would be MOST beneficial for improving dashboard responsiveness?
Correct Answer: A
Materialized views (option A) pre-compute and store the results of the aggregation, making the dashboard queries much faster. Standard views (option B) perform the aggregations every time they are queried. Clustering (option C) can help with filtering but is not as effective as pre-aggregation. Partitioning (option D) is not supported in Snowflake. Search optimization (option E) helps with point lookups but not aggregations over large datasets.