Hello fellow members,
I've been researching the impact of BigQuery's storage engine on query performance, but I'm finding myself stuck on a few details. Specifically:
- How does BigQuery's columnar storage affect the execution of complex analytical queries compared to traditional row-based systems?
- Are there particular query patterns where BigQuery's architecture excels or underperforms?
- What storage optimizations does BigQuery employ to minimize data scanning?
As someone still grasping the nuances of its architecture, could anyone share insights or point me to resources that clarify how BigQuery optimizes for these scenarios? Any practical examples illustrating its strengths would be greatly appreciated!