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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781803246598
Length 532 pages
Edition 2nd Edition
Tools
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Authors (4):
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Tonya Chernyshova Tonya Chernyshova
Author Profile Icon Tonya Chernyshova
Tonya Chernyshova
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
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Dmitry Foshin
Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
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Toc

Table of Contents (15) Chapters Close

Preface 1. Getting Started with ADF 2. Orchestration and Control Flow FREE CHAPTER 3. Setting Up Synapse Analytics 4. Working with Data Lake and Spark Pools 5. Working with Big Data and Databricks 6. Data Migration – Azure Data Factory and Other Cloud Services 7. Extending Azure Data Factory with Logic Apps and Azure Functions 8. Microsoft Fabric and Power BI, Azure ML, and Cognitive Services 9. Managing Deployment Processes with Azure DevOps 10. Monitoring and Troubleshooting Data Pipelines 11. Working with Azure Data Explorer 12. The Best Practices of Working with ADF 13. Other Books You May Enjoy
14. Index

Pausing/resuming an Azure Synapse SQL pool from Azure Data Factory

In this recipe, you will create a new Azure Data Factory pipeline that allows you to automatically pause and resume your Synapse dedicated SQL pool.

Getting ready

You need access to an Azure Synapse workspace with a dedicated SQL pool for this recipe. Make sure your dedicated SQL pool is paused before starting this recipe as you are going to resume it automatically using Azure Data Factory pipeline.

How to do it…

We shall start by designing a pipeline to resume a Synapse SQL pool with an Azure Data Factory pipeline, and then create a pipeline to pause it:

  1. Go to your Azure Data Factory studio, open the Author section, and create a new pipeline. In the Activities section, choose Web. Rename the activity and the pipeline:

    Figure 3.30: Azure Data Factory pipeline – Web activity

    Go to the Settings tab, then copy and paste the following text into the URL textbox:

    ...
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