Azure Data Engineer training

Azure data engineer course

Learning Path & Key Skills

The Azure Data Engineer course is mainly designed for people who want to build careers in data engineering, cloud data management, and analytics using Microsoft Azure. It focuses on tools and services in Azure that help organizations collect, store, transform, and analyze data.

  • 1. Data Integration & ETL (Extract, Transform, Load)

    • Learn to use Azure Data Factory (ADF) to move and transform data from different sources.

    • Build pipelines that handle both batch and real-time data processing.

    🔹 2. Data Storage & Management

    • Learn to store large-scale structured, semi-structured, and unstructured data in:

      • Azure Data Lake Storage (ADLS)

      • Azure SQL Database / Synapse Analytics

      • Cosmos DB

    • Understand data partitioning, indexing, and optimization for performance.

    🔹 3. Big Data Processing

    • Work with Azure Synapse Analytics for data warehousing.

    • Use Azure Databricks (Apache Spark) for big data analytics and machine learning workflows.

    Key Azure Services Covered

     

    • Azure Synapse Analytics: An integrated analytics service that brings together data warehousing, big data processing, and data integration.

    • Azure Data Factory (ADF): A cloud-based ETL service for data integration and orchestration of data movement.

       

    • Azure Databricks: An Apache Spark-based analytics platform optimized for the Azure cloud.

       

    • Azure Data Lake Storage Gen2 (ADLS Gen2): A scalable and secure data lake solution built on Azure Blob Storage.

    • Azure Stream Analytics: A real-time analytics service for processing fast-moving streams of data.

    Azure data engineer

    Azure Devops Course Outline

    Introduction to Azure DevOps

     

    • Overview of DevOps and its importance in modern software development
    • Introduction to Azure DevOps tools and services
    • Understanding Agile methodologies and Azure Boards
    Version Control with Git and Azure Repos

     

    • Introduction to Git and version control concepts
    • Managing repositories with Azure Repos
    • Branching, merging, and pull requests
    Continuous Integration (CI)

     

    • Setting up build pipelines in Azure Pipelines
    • Automated testing and code quality checks
    • Integration with GitHub and other repositories
    Continuous Deployment (CD)

     

    • Configuring release pipelines for automated deployments
    • Managing environments and approvals
    • Deploying to Azure services (Web Apps, Kubernetes, VMs, etc.)
    Hands-On Projects

     

    • Building and deploying a sample application using Azure DevOps
    • Real-world scenarios to create CI/CD pipelines and manage infrastructure
    Certification and Career Guidance

     

    • Preparation for the Microsoft Azure DevOps Engineer Expert certification
    • Resume building and interview preparation
    • Placement support and freelancing tips

    Real-Time Data & Streaming

     

    Process streaming data using Azure Event Hubs, Stream Analytics, and integrate with Power BI for dashboards.