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Labs

Trigger and Monitor an Azure Data Factory Pipeline

In this hands-on lab scenario, you are a data engineer for Awesome Company. You have already configured a pipeline to move sales data from one Azure SQL database to another for archiving and analysis purposes. Now you need to test triggering this pipeline and monitor to make sure it completes successfully. Performing the actions of this hands-on lab will help you become familiar with triggering Azure Data Factory pipelines and monitoring their progress.

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Path Info

Level
Clock icon Beginner
Duration
Clock icon 30m
Published
Clock icon Jan 18, 2024

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.

Table of Contents

  1. Challenge

    Trigger the Pipeline

    Trigger the pipeline named ProductArchivePipeline manually.

  2. Challenge

    Monitor the Pipeline

    Visually monitor the pipeline run.

  3. Challenge

    View Run Details

    Drill into the details of the pipeline activity runs.

A Cloud Guru - Labs - Trigger and Monitor an Azure Data Factory Pipeline
Author
A Cloud Guru

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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We will provide the credentials and environment necessary for you to practice right within your browser.

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Follow along with the author’s guided walkthrough and build something new in your provided environment!

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