DEPLOYMENT

Category: 05. Data & Analytics
Section: Phase 4: Delivery & Presentation

13. DEPLOYMENT.md

Purpose: To define how to deploy the dashboard, database, and scheduled jobs for the live demo.

Act as a DevOps engineer.
Using the System Architecture and Data Pipeline document below, create a Deployment document for a data & analytics hackathon project.

ARCHITECTURE: [PASTE SYSTEM_ARCHITECTURE]
DATA_PIPELINE: [PASTE DATA_PIPELINE]

Provide:
1. Deployment platforms (Streamlit Cloud, Vercel, Power BI Service, Render)
2. Database hosting (Supabase, PostgreSQL, MongoDB Atlas)
3. Environment variables for production
4. Step-by-step deployment instructions for each component
5. How to test the deployed dashboard
6. Scheduled jobs and data refresh in production
7. Fallback plan if deployment fails during the hackathon
8. A pre-deployment checklist
9. Common deployment mistakes and how to avoid them

Keep the deployment process simple and achievable within a 24-48 hour hackathon.
Focus on getting a working live dashboard as early as possible.