A Data Studio dashboard over large aggregated BigQuery data will face high concurrency. How do you optimize for low-latency visualizations?

The correct answer is using BigQuery BI Engine with materialized views. BigQuery BI Engine is an in-memory analysis service that accelerates SQL queries, making dashboards and reports in tools like Data Studio much faster, especially for high concurrency. Materialized views pre-compute and store the results of frequently run queries, significantly reducing query execution time for aggregated data. Combining BI Engine with materialized views provides the best performance for low-latency visualizations over large, aggregated datasets by both accelerating query processing and pre-calculating results. Logical views are simply stored queries and do not pre-compute data, offering no performance benefit for repeated queries. Streaming data refers to the ingestion method, not a performance optimization for dashboard queries. Authorized views control access but do not improve query performance.