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In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern datawarehouse infrastructures.
This occurs when there is a discrepancy between the actual stock levels and the recorded data in the Inaccurate tracking can result from manual errors, outdated systems, or lack of real-time updates. The consequences include stockouts, overstocking, lost sales, and increased carrying costs.
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