This article surveys enterprise data science applications and the architectural patterns enabling them at scale.
- •Manufacturing OEE uses Spark Structured Streaming with medallion architecture for continuous productivity monitoring across factories
- •Demand forecasting builds per-product-location models; random forest with weather features reduced MAPE from 0.73 to 0.39
- •Streaming QoS analytics uses Delta architecture to detect CDN latency and buffering anomalies in near real-time
- •Bias mitigation applies SHAP and Fairlearn's ThresholdOptimizer, reducing demographic TPR/FPR gaps from 26.5% to ~3-4%
- •Retail POS lakehouse unifies streaming inserts, batch snapshots, and CDC updates in a single pipeline
This summary was automatically generated by AI based on the original article and may not be fully accurate.