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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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Summary

With that, we have come to the end of this chapter. This chapter is one of the lengthiest chapters but luckily not so complicated. We started with designing the security requirements of our IAC example and then used that as our guide to explore the various security and compliance topics. We learned about encryption at rest and transit, enabling auditing for Azure Data Lake Storage and Synapse SQL, implementing data masking, RBAC and ACL rules, row- and column-level security, and had a recap on data retention and purging. After that, we continued with topics such as AAD and Key Vault to manage keys, secrets, and certificates, learned about secure endpoints, and details of tokens and encryption in Spark. Finally, we wrapped it up with concepts to be followed to design data privacy. You have now covered more or less all the important topics in handling security and privacy. You should now be able to design and implement a complete security and privacy solution on top of Azure...

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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