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Module 1: Introduction to Data Engineering on Azure
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Focus: Overview of Azure data services and architecture patterns.

  • Lessons:
    • Data engineering concepts
    • Azure data platform overview
    • Modern data warehouse and lakehouse architectures
  • Key Topics:
    • Data storage options
    • Data processing frameworks
    • Security and compliance basics
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Module 2: Working with Azure Data Lake Storage
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Focus: Managing and organizing data in Azure Data Lake.

  • Lessons:
    • Configuring Data Lake Storage Gen2
    • Managing hierarchical namespaces
    • Securing data access
  • Key Topics:
    • Data ingestion strategies
    • Access control and governance
    • Integration with analytics tools
  • Labs:
    • Create and manage a Data Lake Storage account
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Module 3: Building Data Pipelines with Azure Synapse Analytics
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Focus: Orchestrating data transfer and transformation.

  • Lessons:
    • Synapse pipelines overview
    • Data movement and transformation
    • Monitoring pipeline performance
  • Key Topics:
    • ETL workflows
    • Integration runtime
    • Pipeline optimization
  • Labs:
    • Implement a data pipeline using Synapse
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Module 4: Real-Time Data Processing with Azure Stream Analytics
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Focus: Capturing and aggregating streaming data.

  • Lessons:
    • Stream Analytics architecture
    • Writing queries for real-time analytics
    • Outputting results to storage and dashboards
  • Key Topics:
    • Event Hubs integration
    • Real-time monitoring
    • Scaling stream processing
  • Labs:
    • Build a real-time analytics solution
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Module 5: Advanced Analytics with Azure Databricks
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Focus: Leveraging Apache Spark for big data processing.

  • Lessons:
    • Databricks workspace setup
    • Spark SQL and DataFrames
    • Machine learning integration
  • Key Topics:
    • Distributed computing
    • Data transformation at scale
    • Performance tuning
  • Labs:
    • Perform transformations using Databricks notebooks
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Module 6:Securing and Monitoring Data Solutions
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Focus: Ensuring compliance and operational excellence.

  • Lessons:
    • Implementing security best practices
    • Monitoring data pipelines
    • Troubleshooting performance issues
  • Key Topics:
    • Role-based access control
    • Data lineage tracking
    • Alerting and diagnostics