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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 a data auditing strategy

This was the second requirement of our example IAC requirements – to keep track of the activities on the data store for compliance purposes. Data auditing is the process of keeping track of the activities that were performed on a service. This is usually done via logs and metrics. Let's look at how Azure Storage supports data auditing.

Storage auditing

Azure Storage supports audit logging via Storage Analytics logging. This is now called classic monitoring. There is a newer version of logging available under Azure Monitor. Azure Monitor storage support was in preview mode at the time of writing this book. Let's look at both ways of enabling audit logging. Storage Analytics logging can be enabled as shown in the following screenshot:

Using a classic diagnostic setting

Figure 12.5 – Enabling metrics logging for auditing in the Azure storage

Once enabled, the logs will get stored...

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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