Explain advanced SQL concepts you would use for data engineering tasks.
Using the provided customers and orders tables, write a query that summarizes completed 2025 sales for every customer, including customers with no qualifying orders. The result should demonstrate sales aggregation, regional ranking, null handling, and customer segmentation.
customer_id, customer_name, region, completed_orders, total_completed_sales, region_rank, and sales_segment.region, region_rank, and customer_id.| Column | Type | Description |
|---|---|---|
| customer_idPK | INT | Unique customer identifier |
| customer_name | VARCHAR(100) | Customer name |
| region | VARCHAR(50) | Customer sales region |
| Column | Type | Description |
|---|---|---|
| order_idPK | INT | Unique order identifier |
| customer_id | INT | Customer associated with the order |
| order_date | DATE | Date the order was placed |
| order_total | NUMERIC(10,2) | Order monetary total |
| status | VARCHAR(20) | Order processing status |