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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565296
Length 382 pages
Edition 1st Edition
Tools
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Authors (4):
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Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Roman Storchak Roman Storchak
Author Profile Icon Roman Storchak
Roman Storchak
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
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Dmitry Foshin
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with ADF 2. Chapter 2: Orchestration and Control Flow FREE CHAPTER 3. Chapter 3: Setting Up a Cloud Data Warehouse 4. Chapter 4: Working with Azure Data Lake 5. Chapter 5: Working with Big Data – HDInsight and Databricks 6. Chapter 6: Integration with MS SSIS 7. Chapter 7: Data Migration – Azure Data Factory and Other Cloud Services 8. Chapter 8: Working with Azure Services Integration 9. Chapter 9: Managing Deployment Processes with Azure DevOps 10. Chapter 10: Monitoring and Troubleshooting Data Pipelines 11. Other Books You May Enjoy

Pausing/resuming an Azure 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 Azure SQL data warehouse.

Getting ready

Pause your Azure SQL pool before starting this recipe as you are going to resume it automatically using Azure Data Factory.

How to do it…

To pause or resume an Azure SQL pool with Azure Data Factory, use the following steps:

  1. Open the Author section of Azure Data Factory, create a new pipeline, and in the Activities section, choose Web. Rename the activity and the pipeline:

    Figure 3.12 – Azure Data Factory – web activity

    Go to the settings, then copy and paste the following text into URL:

    https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/{resource-group-name}/providers/Microsoft.Sql/servers/{server-name}/databases/{database-name}/resume?api-version=2019-06-01-preview
  2. As you can see, there are some parameters...
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