Data Platform Architecture

A comprehensive framework for building and maintaining enterprise-scale AI and data platforms with well-documented architecture patterns.

Objective

To provide a structured approach for:

• Building scalable data & AI architectures
• Maintaining architectural consistency
• Documenting decisions and patterns
• Enabling collaborative design reviews

Repository Structure

Core Documentation

• /patterns — Enterprise data & AI patterns

  • Data Ingestion & Processing
  • Data Governance & Security
  • Data Quality & Testing
  • MLOps & Model Lifecycle
  • Pipeline Orchestration
  • Monitoring & Observability

• /design-docs — Detailed system designs

  • Platform Components
  • Integration Patterns
  • Scaling Strategies
  • Security Architecture

• /adrs — Architecture Decision Records

  • Platform Choices
  • Technology Selections
  • Implementation Decisions

Supporting Resources

• /diagrams — Architecture Diagrams (C4 Model)

  • System Context (C1)
  • Containers (C2)
  • Components (C3)
  • Code (C4)

• /templates — Standardized Documentation

• /docs — Generated Documentation Site

Getting Started

1. Setup Environment

   # Install dependencies
   mkdir -p patterns/data-ingestion patterns/governance patterns/quality patterns/mlops patterns/orchestration patterns/monitoring
   mkdir -p design-docs/components design-docs/integration design-docs/scaling design-docs/security
   mkdir -p adrs/platform adrs/technology adrs/implementation
   mkdir -p diagrams/context diagrams/containers diagrams/components diagrams/code
   mkdir -p templates docs scripts
   touch scripts/setup.sh scripts/render_diagrams.sh
   chmod +x scripts/setup.sh scripts/render_diagrams.sh

2. Create Architecture Documents

   • Use templates from /templates
   • Follow C4 model conventions
   • Include required diagrams

3. Review Process

   • Create feature branch
   • Follow PR template
   • Ensure diagram generation
   • Update documentation

Architecture Principles

• Documentation as Code
• Diagram Automation
• Consistent Patterns
• Collaborative Reviews
• Version Control

License

MIT License