Google Professional Data Engineer
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In this scenario, you are frequently querying a massive table in BigQuery that spans several petabytes. The goal is to filter this data and generate simple aggregate reports to provide timely insights for downstream users. Given the size of the table, you need a solution that allows you to run these queries more efficiently and obtain the most current information rapidly. What steps should you take to achieve this?
Explanation:
The correct answer is D. When you need to query a very large table frequently with specific filters and aggregations, creating a materialized view is a highly efficient solution. Materialized views are precomputed views that cache the results of a query at regular intervals, enabling faster access to up-to-date data. This significantly improves query performance and reduces the wait time for insights compared to running full table scans multiple times a day.