Building a demand forecasting system with Random Forest, ANN, and hybrid time-series models on Hadoop and Spark. Covers data ingestion, feature engineering, model training, validation, and rollout for large SKU catalogs and seasonality.
Deep-dive performance comparison of Hive, HBase, and Spark on 9.6M NYC taxi records. Learn why Hive ACID falls short, when HBase is 141x faster for lookups, and what Spark actually optimizes for. Includes benchmarks and usage guidance.