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Data Engineering Journey - Documentation

Welcome to the documentation for the Data Engineering Journey course!

Course Overview

This hands-on course takes you from traditional data processing to modern AI-driven systems in 4 progressive phases.

Documentation Structure

Phase 1: Traditional Data Processing

• Getting Started
• HTML Dashboard Guide
• SQL Basics

Phase 2: Modern Data Engineering

• Azure Synapse Setup
• ETL Pipelines
• Power BI Integration

Phase 3: AI-Driven Systems

• Azure AI Services
• Machine Learning Integration
• Intelligent Automation

Phase 4: Agentic AI

• Multi-Agent Systems
• Autonomous Data Processing
• Advanced Orchestration

Quick Links

• Installation Guide
• Prerequisites
• GitHub Codespaces Setup
• Troubleshooting

Learning Path

Phase 1 (Traditional) → Phase 2 (Modern) → Phase 3 (AI-Driven) → Phase 4 (Agentic)
    2-3 weeks              3-4 weeks           4-5 weeks           3-4 weeks

Additional Resources

• Video Tutorials
• Sample Datasets
• Best Practices
• FAQ

Contributing

See CONTRIBUTING.md for guidelines on contributing to this course.

Support

• 📧 Email: 2maree@gmail.com
• 💼 LinkedIn: linkedin.com/in/rammaree
• 🐛 Issues: GitHub Issues

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Happy Learning! 🚀