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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 masking strategy

Data masking is a technique used in SQL technologies to hide sensitive data in SQL query results from non-privileged users. For example, the credit card info of a customer might be masked as XXXX-XXXX-XXXX-1234 instead of showing the complete number while querying a customer table in Synapse SQL. The data itself is not changed in the tables, but the queries and views modify the data dynamically to mask sensitive information.

This feature helps enforce the following two requirements of IAC:

  • Not everyone should have access to all the data – it should be on a need-to-know basis.
  • Maintain customer privacy at all costs.

You can easily create a data mask in Azure Synapse SQL (and in Azure SQL too) using a feature called Dynamic Data Masking (DDM). The following screenshot shows how this can be done in Azure Synapse SQL:

Figure 12.9 – Setting up DDM from the Azure portal

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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