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Azure Data Factory Administration Essential Training: Manage, Secure, and Monitor Environments

Azure Data Factory Administration Essential Training: Manage, Secure, and Monitor Environments

1h 33mIntermediate2025-08-14

Authors

Emilio Melo

Emilio Melo

Cloud solutions architect with 20+ years of IT experience

Course details

In this course, get a comprehensive overview of key administrative skills in Azure Data Factory (ADF) environments. Instructor Emilio Melo shows you how to manage, secure, and monitor ADF environments effectively. Learn how to set up a Data Factory resource, configure linked services, and manage integration runtimes to optimize data workflows. Emilio also covers core security practices and offers you hands-on experience with monitoring, troubleshooting, and automating pipelines. Whether you're new to ADF or looking to strengthen your administrative skills, this course provides the practical know-how you need to succeed in real-world scenarios.

Learning objectives
Set up, manage, and secure Azure Data Factory (ADF) resources.
Monitor and troubleshoot data pipelines.
Automate data workflows.
Navigate the foundational structure of ADF pipelines.

Skills covered

Data Resource ManagementCloud AdministrationDatabase ManagementAzureCloud ComputingMicrosoftDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Take control with Azure Data Factory
  • 02 - About this course

1. Setting Up an Azure Data Factory Resource

  • 03 - What is Azure Data Factory
  • 04 - The role of Azure Data Factory in Microsoft s data strategy
  • 05 - Creating and configuring an Azure Data Factory resource
  • 06 - Creating an Azure Data Factory pipeline

2. Core Administrative Tasks

  • 07 - Understanding integration runtimes
  • 08 - Configuring integration runtimes
  • 09 - Managing linked services and datasets
  • 10 - Configuring linked services and datasets
  • 11 - Managing triggers and scheduling pipelines
  • 12 - Working with scheduling and triggers on Azure Data Factory

3. Data Factory Monitoring and Troubleshooting

  • 13 - Monitoring pipelines and activity runs
  • 14 - Monitoring features on Azure Data Factory
  • 15 - Understanding Azure Data Factory security
  • 16 - Securing Azure Data Factory resources

Conclusion

  • 17 - Learn more about Azure Data Factory

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