Optimizing a Slow, Expensive Data Warehouse for BI Dashboards
Tests your grasp of data warehouse architecture beyond basic SQL. A great answer covers partitioning/clustering, materialized views for pre-aggregation, and cost controls. A red flag is suggesting only query rewrites or just 'adding more compute'.
This question tests your ability to architect for scale and cost in a modern data warehouse, not just write queries. A strong answer outlines a multi-layered strategy: first, physical layout changes like partitioning by date and clustering by common filter columns; second, pre-computation using materialized views or summary tables; and finally, cost governance. A major red flag is a junior-level focus on just rewriting SQL or suggesting 'more hardware' without addressing the underlying data model.
Read the original → docs.cloud.google.com
- #data warehousing
- #bigquery
- #sql
- #system design
- #analytics
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