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

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Published inJul 2021
PublisherPackt
ISBN-139781800562936
Edition1st Edition
Tools
Azure Pack
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Data Streaming
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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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Using wizards

Hey, it's Microsoft. They love wizards! And Synapse pipelines and Azure Data Factory are no exception here. If you click the Home button in the navigator pane of your UI (see Figure 5.5 – Azure Data Factory home screen), you will find a link that says Copy data. In Synapse Studio, you will find a link with the name Ingest. I would like to encourage you to examine the Copy Data Wizard. It will give you very good examples of how to use the copy activity.

You may perhaps want to try to copy a bunch of database tables in a single step. As soon as you have created a linked service to your database, the Copy Data Wizard will prompt you for the table selection. You can select one or more tables in this window:

Figure 5.17 – Multi-table selection in the Copy Data Wizard

Following additional settings for the single tables (you can name each file explicitly or leave this to the wizard), you can finish your pipeline and even run it...

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Cloud Scale Analytics with Azure Data Services
Published in: Jul 2021Publisher: PacktISBN-13: 9781800562936
© 2021 Packt Publishing Limited All Rights Reserved

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

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