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.
Troubleshooting Azure Data Factory - The Failed Experiment
By Brian RoehmIn 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
Lab Highlights
Creating a Data Pipeline in Azure Data Factory 
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.