Anomaly Detection Workshop Quick Start Replace placeholders: {CATALOG_NAME}, {SCHEMA_NAME}, {USERNAME} with your values. Two Independent Workflows DLT Pipeline (Real-time) 00_synthetic_data_generator.ipynb - Generate demo data dlt_pipeline/ - Streaming: JSON → Bronze → Silver → Gold BONUS-ai-query-anomaly-detection.ipynb - AI explanations ML Training (Batch) 01_feature_engineering.ipynb - Feature store 02_training_and_tracking.ipynb - Model training 03_serving_batch_inference.ipynb - Batch predictions Usage Options Option Components Use Case DLT Only 00_ + DLT + BONUS Real-time streaming ML Only 01_ + 02_ + 03_ Batch ML training Combined All components End-to-end solution Table Schema (Medallion Architecture) Layer Table Purpose Bronze bronze_customer_events Raw JSON events Silver silver_customer_features Engineered features Gold gold_batch_predictions Final predictions Prerequisites Unity Catalog workspace MLflow Model Registry access DLT pipeline permissions Volume creation permissions