Add complete financial fraud detection database with Docker, schema, data generation, and SQL exercises

- Docker setup with PostgreSQL 16 and DB-UI web interface
- Comprehensive 20+ table schema with fraud detection patterns
- Idempotent shell scripts for data generation (no Python dependency)
- Realistic geographic data (100 US cities, 210 world cities)
- 5M+ transactions with embedded fraud patterns (velocity, geographic, structuring, etc.)
- Progressive SQL exercises from beginner to advanced fraud detection
- Complete documentation and quick start guide
- Setup and verification scripts

docker-compose.yml

@@ -0,0 +1,52 @@
+version: '3.8'
+
+services:
+  postgres:
+    image: postgres:16-alpine
+    container_name: fraud_detection_db
+    environment:
+      POSTGRES_DB: fraud_detection
+      POSTGRES_USER: fraud_analyst
+      POSTGRES_PASSWORD: SecurePass123!
+      PGDATA: /var/lib/postgresql/data/pgdata
+    ports:
+      - "5432:5432"
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+      - ./schema:/docker-entrypoint-initdb.d
+      - ./data:/data
+    networks:
+      - fraud_network
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U fraud_analyst -d fraud_detection"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+    restart: unless-stopped
+
+  db-ui:
+    image: ghcr.io/n7olkachev/db-ui:latest
+    container_name: fraud_detection_ui
+    environment:
+      POSTGRES_HOST: postgres
+      POSTGRES_USER: fraud_analyst
+      POSTGRES_PASSWORD: SecurePass123!
+      POSTGRES_DB: fraud_detection
+      POSTGRES_PORT: 5432
+    ports:
+      - "3000:3000"
+    networks:
+      - fraud_network
+    depends_on:
+      postgres:
+        condition: service_healthy
+    restart: unless-stopped
+
+networks:
+  fraud_network:
+    driver: bridge
+
+volumes:
+  postgres_data:
+    driver: local
+