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Course Outline

Introduction to Azure Data Factory

  • Overview of the Azure Data Factory service
  • Core concepts and architectural design
  • Key use cases and advantages of ADF

Configuring Your ADF Environment

  • Provisioning and setting up an ADF instance
  • Navigating the Azure Data Factory portal
  • Understanding integration runtimes

Managing Datasets and Linked Services

  • Defining datasets and establishing linked services
  • Connecting to diverse data sources
  • Setting up authentication and secure connections

Developing Data Pipelines

  • Fundamentals of pipelines and their components
  • Building basic data pipelines using activities
  • Constructing pipelines for data movement

Data Flow and Transformation Activities

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

Automating Pipelines via Scheduling and Triggers

  • Scheduling pipeline executions using triggers
  • Utilizing tumbling window and event-based triggers
  • Monitoring pipeline activities and interpreting output logs

Debugging and Managing Errors

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

Enhancing Performance

  • Best practices for data pipeline optimization
  • Configuring parallelism and partitioning
  • Optimizing overall pipeline performance

Security and Monitoring Protocols

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

Advanced Scenarios and Integrations

  • Integrating ADF with other Azure services
  • Addressing complex data integration scenarios
  • Creating comprehensive end-to-end data integration solutions

Conclusion and Future Steps

Requirements

  • Fundamental understanding of cloud computing principles
  • Proficiency in data integration and ETL workflows

Target Audience

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

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