Top 5 System Table Queries for Understanding Your Databricks Costs

This post details how to leverage Databricks system tables (e.g., `system.billing.usage`, `system.query.query_history`) to analyze cost drivers. It provides specific SQL queries to understand compute costs, storage costs, and query performance, which directly impact overall expenditure. The technical contribution lies in exposing and explaining these system tables for cost analysis, enabling users to debug and optimize their Databricks spending.