Bad Ingestion Architecture Generates Million Dollar Snowflake and Databricks Bills

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Enterprise data platforms often suffer from skyrocketing cloud bills caused not by user queries, but by bad ingestion architecture.
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Enterprise data platforms often suffer from skyrocketing cloud bills caused not by user queries, but by bad ingestion architecture. Issues like the "Small File Problem" from real-time micro-batching, lack of change data capture forcing massive full-table overwrites, and mismatched data clustering keys run up hidden compute charges. By implementing automated file compaction, tiered ingestion routing, and strict incremental data logic, engineers can achieve up to an 80% reduction in compute spend while maintaining high system performance.