Cost Spike from Unexpected SKU Usage Patterns

Databricks costs increase unexpectedly when workloads shift to different SKUs (e.g., STANDARD to PREMIUM compute, serverless adoption) without visibility into which products drive the change. system.billing.usage shows cost increases but root cause product is unclear without drilling into billing_origin_product and product_features.

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