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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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Authors (3):
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Christian Cote Christian Cote
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Christian Cote
Giuseppe Ciaburro Giuseppe Ciaburro
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Giuseppe Ciaburro
Michelle Gutzait Michelle Gutzait
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Michelle Gutzait
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Azure Data Factory

Now, we'll create the factory. The goal of the exercise is to copy data from a SQL Server table and bring it in an Azure Blob storage.

Log in to the Azure portal (http://Portal.Azure.com). In the resource section, click the + New icon. Click on Data + Analytics and select Data Factory, as shown in the following screenshot:

The New data factory blade opens. As shown in the following screenshot, fill the textboxes with the following values:

  • Name: The name of the factory might be later registered as DNS. It should be unique if at all possible. To make it unique, we might use our initials in front of it. There are naming rules for data factories, which can be found at https://docs.microsoft.com/en-us/azure/data-factory/naming-rules.
  • Subscription: Should be filled with the active subscription used to create the data factory.
  • Resource Group: We're...
You have been reading a chapter from
Hands-On Data Warehousing with Azure Data Factory
Published in: May 2018
Publisher: Packt
ISBN-13: 9781789137620
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