**Architectural Logic**: Partitioning enables partition pruning—critical for cost and performance at scale. **BigQuery**: `CREATE TABLE dataset.sales (...) PARTITION BY sale_date` or `PARTITION BY DATE(created_at)`. **Snowflake**: `PARTITION BY (sale_date)` or expression. **Hive/Spark**: `PARTITIONED BY (sale_date DATE)`. **Why Partition**: Predicate on partition column skips non-matching partitions; 90% cost reduction on date-filtered queries....
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