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Course Outline

Introduction to Azure Data Factory

  • Azure Data Factory overview
  • Core concepts and architecture
  • Use cases and benefits of ADF

Configuring Your ADF Environment

  • Creating and configuring an ADF instance
  • Navigating the Azure Data Factory portal
  • Understanding integration runtimes

Leveraging Datasets and Linked Services

  • Defining datasets and linked services
  • Connecting to diverse data sources
  • Configuring authentication and secure connections

Developing Data Pipelines

  • Pipeline fundamentals and components
  • Constructing basic data pipelines using activities
  • Building pipelines for data movement

Data Flow and Transformation Activities

  • Introduction to data flow capabilities
  • Data transformation activities
  • Designing and executing data flow transformations

Pipeline Scheduling and Triggering

  • Scheduling pipeline runs with triggers
  • Utilizing tumbling window and event-based triggers
  • Monitoring pipeline activity and interpreting output logs

Debugging and Error Handling

  • Debugging pipelines and data flows
  • Implementing error handling and retry mechanisms
  • Incorporating error handling into existing pipelines

Performance Optimization

  • Best practices for optimizing data pipelines
  • Understanding and configuring parallelism and partitioning
  • Enhancing pipeline performance

Security and Monitoring

  • Securing ADF with access control and permissions
  • Implementing data encryption and secure data transfer
  • Monitoring data pipelines using built-in tools and alerts

Advanced Scenarios and Integration

  • Integrating ADF with other Azure services
  • Handling complex data integration scenarios
  • Creating an end-to-end data integration solution

Summary and Next Steps

Requirements

  • Fundamental understanding of cloud computing principles
  • Basic familiarity with data integration and ETL methodologies

Target Audience

  • Data engineers
  • Data analysts
  • ETL developers
  • IT professionals
 14 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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