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You're reading from  Cloud Scale Analytics with Azure Data Services

Product typeBook
Published inJul 2021
PublisherPackt
ISBN-139781800562936
Edition1st Edition
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Author (1)
Patrik Borosch
Patrik Borosch
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Patrik Borosch

Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
Read more about Patrik Borosch

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Provisioning Databricks

Provisioning a Databricks workspace is as easy as the services in the previous chapters:

  1. First, navigate to the Azure portal and click Create a resource.
  2. In the search box, type Databricks and select Azure Databricks from the quick results displayed beneath the search. The Databricks info is displayed.
  3. Click Create and start the provisioning.
  4. In the Basics blade, fill in or select the values for the input fields. You will need to select the subscription to build your Azure Data Factory (ADF) and either select an existing resource group or create a new one. See Chapter 3, Understanding the Data Lake Storage Layer, for a description of resource groups. You want to name your workspace here and assign it to the most suitable region for you. As regards the Pricing Tier, please select the appropriate one. For a first test, you might select Trial (Premium - 14 Days Free DBUs) as this won't cost anything. You can then proceed with Next: Networking...
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Cloud Scale Analytics with Azure Data Services
Published in: Jul 2021Publisher: PacktISBN-13: 9781800562936

Author (1)

author image
Patrik Borosch

Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
Read more about Patrik Borosch