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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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Setting the networking options

While generating your Data Lake Storage account, you must set networking options. You have three options there and, according to your choice, you can implement Azure storage firewalls, virtual networks, and private endpoints with your Data Lake Storage.

Allowing access from all networks will cause the Data Lake Storage to be "visible" to everybody. You won't limit any network addresses, so you will need to secure the data lake with other measures, such as RBAC and ACLs. And don't forget, anybody with a Shared Key or a valid SAS will be able to reach your data lake as well.

Understanding storage account firewalls

You might want to consider setting up firewall rules to limit traffic to your data lake so that only IP ranges and addresses that you know have permission. Let's take a look:

  1. When you examine the Navigation blade of your Data Lake Storage, you will find the entry for Firewalls and virtual networks in...
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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