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Troubleshooting Azure Data Factory - The Failed Experiment

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.

Pluralsight - Pluralsight course - Troubleshooting Azure Data Factory - The Failed Experiment
by Pluralsight

What you'll learn

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.

Table of contents

About the author

Pluralsight - Pluralsight course - Troubleshooting Azure Data Factory - The Failed Experiment
Pluralsight

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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