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You're reading from  Azure Data Engineer Associate Certification Guide

Product typeBook
Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
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Newton Alex
Newton Alex
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Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
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Designing and implementing Azure role-based access control and a POSIX-like access control list for Data Lake Storage Gen2

This section also deals with restricting data access to unauthorized users and satisfies the following requirement of our sample IAC requirements:

Not everyone should have access to all the data. It should be on a need-to-know basis.

Azure uses and recommends the principle of least privilege, which means assigning the least possible privilege required to accomplish a task. Let's see how RBAC and ACLs help to achieve this goal.

Restricting access using Azure RBAC

Azure Role-Based Access Control (Azure RBAC) is an authorization system that controls who can access what resources in Azure. Azure RBAC works hand in hand with Azure AAD. Let's try to understand the basics of RBAC before getting into the details.

RBAC has three components:

  • Security principal: This could be any user, group, or managed identity (service accounts whose life...
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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069

Author (1)

author image
Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex