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Hands-On Data Warehousing with Azure Data Factory

You're reading from   Hands-On Data Warehousing with Azure Data Factory ETL techniques to load and transform data from various sources, both on-premises and on cloud

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781789137620
Length 284 pages
Edition 1st Edition
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Michelle Gutzait Michelle Gutzait
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Michelle Gutzait
Giuseppe Ciaburro Giuseppe Ciaburro
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Giuseppe Ciaburro
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Calling Databricks notebook execution in ADF


We now have laid down everything to trigger the notebook execution in ADF. Going back to the factory, we're going to add a linked service. So far, all the linked services we created in this book were connected to a data store: SQL Server, blob storage, and so on. This time, we're going to use a computation linked service: Azure Databricks.

As shown in the following screenshot, add a linked service. Click on the Compute tab, select Azure Databricks, and click on Continue:

We'll now enter the details of the cluster in the next step. We used Azure Databricks for the Type property. The following screenshot shows the properties to set:

The properties are explained as follows:

  • Connect via integration runtime: We use the Default one. It has access to all Azure resources.
  • Account selection method: From Azure subscription.
  • Select cluster: We're going to create a cluster on the fly and it will be running only for the duration of our job; therefore, we select...
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