🌊 Lambda Architecture - Complete Tutorial¶

📝 Note: This tutorial is currently in development. Check back soon!

🎯 Coming Soon¶

This tutorial will provide a complete walkthrough for implementing the Lambda Architecture pattern on Azure, combining batch and stream processing for comprehensive analytics.

What You'll Learn¶

Lambda Architecture fundamentals and design principles
Batch Layer implementation with Azure Synapse Spark
Speed Layer implementation with Stream Analytics
Serving Layer with Azure SQL and Synapse Serverless
Data reconciliation between batch and streaming paths
End-to-end data pipeline from ingestion to visualization

What You'll Build¶

graph LR
    A[Data Sources] --> B[Event Hubs]
    B --> C[Batch Layer<br/>Synapse Spark]
    B --> D[Speed Layer<br/>Stream Analytics]
    C --> E[Batch Views<br/>Data Lake]
    D --> F[Real-time Views<br/>Cosmos DB]
    E --> G[Serving Layer<br/>Synapse SQL]
    F --> G
    G --> H[Analytics & BI]

    style A fill:#e3f2fd
    style B fill:#fff3e0
    style C fill:#e8f5e9
    style D fill:#fce4ec
    style E fill:#f3e5f5
    style F fill:#fff9c4
    style G fill:#e0f2f1
    style H fill:#f1f8e9

Tutorial Contents (Planned)¶

✅ Complete tutorial documentation with step-by-step instructions
✅ Azure Bicep IaC templates for automated deployment
✅ Jupyter notebooks for interactive learning
✅ Sample IoT/streaming data generators
✅ Monitoring and alerting configuration
✅ Performance tuning guidance

Architecture Components¶

Component	Azure Service	Purpose
Data Ingestion	Event Hubs	Streaming data collection
Batch Processing	Synapse Spark	Historical data processing
Stream Processing	Stream Analytics	Real-time processing
Batch Storage	Data Lake Gen2	Batch views storage
Speed Storage	Cosmos DB	Real-time views storage
Serving Layer	Synapse SQL Serverless	Unified query interface
Orchestration	Data Factory	Batch job scheduling
Visualization	Power BI	Analytics dashboards

Prerequisites¶

Before starting this tutorial:

Complete the Prerequisites Guide
Recommended: Complete Medallion Architecture Tutorial
Familiarity with streaming concepts
Understanding of batch vs. real-time processing

Estimated Costs¶

Tutorial Completion: $15-25
Monthly Production: $200-500 (varies by data volume)

While this tutorial is in development, explore these resources:

Kappa Architecture - Stream-first alternative
Medallion Architecture - Batch lakehouse pattern
Lambda-Kappa Hybrid - Combined approach

Documentation¶

External Resources¶

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Status: In Development
Expected Release: Q1 2025
Last Updated: 2025-12-12