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Azure Data Engineering Cookbook

You're reading from   Azure Data Engineering Cookbook Get well versed in various data engineering techniques in Azure using this recipe-based guide

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803246789
Length 608 pages
Edition 2nd Edition
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Authors (3):
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Ahmad Osama Ahmad Osama
Author Profile Icon Ahmad Osama
Ahmad Osama
Nagaraj Venkatesan Nagaraj Venkatesan
Author Profile Icon Nagaraj Venkatesan
Nagaraj Venkatesan
Luca Zanna Luca Zanna
Author Profile Icon Luca Zanna
Luca Zanna
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Creating and Managing Data in Azure Data Lake 2. Chapter 2: Securing and Monitoring Data in Azure Data Lake FREE CHAPTER 3. Chapter 3: Building Data Ingestion Pipelines Using Azure Data Factory 4. Chapter 4: Azure Data Factory Integration Runtime 5. Chapter 5: Configuring and Securing Azure SQL Database 6. Chapter 6: Implementing High Availability and Monitoring in Azure SQL Database 7. Chapter 7: Processing Data Using Azure Databricks 8. Chapter 8: Processing Data Using Azure Synapse Analytics 9. Chapter 9: Transforming Data Using Azure Synapse Dataflows 10. Chapter 10: Building the Serving Layer in Azure Synapse SQL Pool 11. Chapter 11: Monitoring Synapse SQL and Spark Pools 12. Chapter 12: Optimizing and Maintaining Synapse SQL and Spark Pools 13. Chapter 13: Monitoring and Maintaining Azure Data Engineering Pipelines 14. Index 15. Other Books You May Enjoy

Configuring a firewall for an Azure Data Lake account using the Azure portal

Data Lake account access can be restricted to an IP or a range of IPs by whitelisting the allowed IPs in the storage account firewall. In this recipe, we'll learn to restrict access to a Data Lake account using a firewall.

Getting ready

Before you start, perform the following steps:

  1. Open a web browser and go to the Azure portal at https://portal.azure.com.
  2. Make sure you have an existing storage account. If not, create one using the Provisioning an Azure storage account using the Azure portal recipe in Chapter 1, Creating and Managing Data in Azure Data Lake.

How to do it…

To provide access to an IP or range of IPs, follow these steps:

  1. In the Azure portal, locate and open the Azure storage account. In our case, the storage account is packtadestoragev2, created in the Provisioning an Azure storage account using the Azure portal recipe of Chapter 1, Creating and Managing Data in Azure Data Lake.
  2. On the storage account page, in the Security + Networking section, locate and select Firewalls and virtual networks.

As the packtadestoragev2 account was created with public access, it can be accessed from all networks.

  1. To allow access from an IP or an IP range, click on the Selected networks option on the storage account on the Firewalls and virtual networks page:
Figure 2.1 – Azure Storage – Firewalls and virtual networks

Figure 2.1 – Azure Storage – Firewalls and virtual networks

  1. In the Selected networks option, scroll down to the Firewall section. To give access to your machine only, select the Add your client IP address option. To give access to a different IP or range of IPs, type in the IPs in the Address range section:
Figure 2.2 – The whitelist IPs in the Azure Storage Firewall section

Figure 2.2 – The whitelist IPs in the Azure Storage Firewall section

  1. To access storage accounts from Azure services such as Azure Data Factory and Azure Functions, check Allow Azure services on the trusted services list to access this storage account under the Exceptions heading.
  2. Click Save to save the configuration changes.

How it works…

Firewall settings are used to restrict access to an Azure storage account to an IP or range of IPs. Even if a storage account is public, it will only be accessible to the whitelisted IPs defined in the firewall configuration.

You have been reading a chapter from
Azure Data Engineering Cookbook - Second Edition
Published in: Sep 2022
Publisher: Packt
ISBN-13: 9781803246789
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