Course Outline:

Module 1: Introduction to Azure Data Factory

• Understanding data integration and ETL
• Overview of Azure Data Factory
• Key features and benefits

Module 2: Azure Data Factory Components

• Data pipelines
• Datasets
• Linked services
• Triggers
• Integration Runtimes

Module 3: Data Movement and Copy Activities

• Data movement concepts
• Creating copy pipelines
• Data movement best practices
• Monitoring and managing copy activities

Module 4: Data Transformation with Data Flow

• Introduction to Data Flow
• Data Flow components
• Building data transformation pipelines
• Debugging and testing Data Flows

Module 5: Data Orchestration and Control Flow

• Control Flow concepts
• Building control flow pipelines
• Conditional activities
• Error handling strategies

Module 6: Data Integration with Azure Services

• Integration with Azure SQL Database
• Integration with Azure Data Lake Storage
• Integration with Azure Synapse Analytics
• Integration with other Azure services

Module 7: Security and Data Compliance

• Data encryption and security best practices
• Azure Data Factory Managed Virtual Network
• Data compliance and governance

Module 8: Monitoring and Performance Optimization

• Monitoring pipelines and activities
• Using Azure Monitor and Azure Log Analytics
• Performance optimization techniques

Module 9: Real-world Use Cases and Best Practices

• Industry-specific case studies
• Best practices for large-scale data integration
• Tips for cost optimization

Module 10: Final Project and Certification

• Hands-on project using Azure Data Factory
• Certification exam preparation
• Course completion and certification

Prerequisites:

• Basic knowledge of data concepts
• Familiarity with Microsoft Azure is a plus but not required

Who Should Enroll:

• Data engineers
• Data analysts
• Business intelligence professionals
• Anyone interested in mastering Azure Data Factory