Troubleshooting Azure Data Factory - The Failed Experiment

By Brian Roehm

In this course, you'll assume the role of a newly hired data engineer tasked with fixing common failures when building a data pipeline in Azure.

1 hour
  • 10 Lessons
  • 1 Hands-On Lab
  • 1 Course Quiz

About the course

In this course, Troubleshooting Azure Data Factory – The Failed Experiment, you’ll learn to build data pipelines in Azure. This course is called "The Failed Experiment" because you will learn to build pipelines by correcting some of the most commonly encountered mistakes. By learning pipelines through failed experiments, you will have a better understanding of how data pipelines work, how to correct common errors, and most importantly, how to avoid them, yourself. When you’re finished with this course, you’ll have a solid grasp on how to perform basic troubleshooting and pipeline creation in Azure. These skills will increase your knowledge about data flow and make you a better data engineer. So let’s get started.

  • Chapter 1 11 Lessons Troubleshooting Azure Data Factory 2:26:02

    Introduction and Scenario


    Data Factory Basics


    Discovering What's Wrong


    Adding Activities


    Source Errors


    Sink Errors


    Importing and Mapping Schemas


    Failed Triggers


    Creating a Data Pipeline in Azure Data Factory

    1:00:00 Hands-On Lab

    Course Summary


    Troubleshooting Azure Data Factory

    15:00 Quiz

What you will need

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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Psst…this one if you’ve been moved to ACG!