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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.
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Developing with Synapse Studio

One of the most important areas for efficient development is the capability to collect all your sources in a central repository, collaborate on artifacts during development, and automate deployments from development to test to production environments.

Synapse Studio is no exception here and integrates with either Azure DevOps or GitHub to enable these features. Other repositories are not yet supported.

Integrating Synapse Studio with Azure DevOps

Let's examine how to integrate your Synapse Studio with Azure DevOps and version your work.

First, you will need to connect your Azure Synapse workspace to your Azure DevOps environment. In Chapter 5, Integrating Data in Your Modern Data Warehouse, you saw how to do this with Azure Data Factory. With Azure Synapse, it is pretty much the same. Let's take these steps:

  1. Please navigate to your DevOps environment (https://dev.azure.com/) and create a new project. Name it something such...
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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