BI tool runs hundreds of aggregations over a 50 TB sales fact table (daily and monthly), causing slow queries and high cost; reduce latency, lower cost, and minimize maintenance.

Creating materialized views aggregating sales by day and month is the most effective solution. Materialized views pre-compute and store the results of complex queries, significantly reducing query latency for recurring aggregations. This lowers cost by processing less data per query and minimizes maintenance compared to manually managing aggregate tables. Authorized views only control access, not performance. BI Engine accelerates certain queries but might not be sufficient for 50 TB tables with hundreds of aggregations. Scheduled hourly queries to populate aggregate tables require manual management and introduce data freshness concerns, increasing maintenance overhead.