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Implement Data Auditing with Azure Data Lake

This course will teach you data auditing, data masking, and encrypting data at rest and in transit on azure cloud. Planning secure endpoints, data retention, and archiving strategy we will be implementing in place using the azure cloud portal.

Tapan Ghatalia - Pluralsight course - Implement Data Auditing with Azure Data Lake
by Tapan Ghatalia

What you'll learn

Sensitive data masking should be of prime importance for efficient data governance models to be followed. In this course, Implement Data Auditing with Azure Data Lake, you’ll learn to apply efficient encryption, data masking, and secure endpoints over Azure Cloud Portal for specific services. First, you’ll explore how to design security for source data access. Next, you’ll discover designing security for data policies and standards. Finally, you’ll learn how to authenticate the service principle to mount data lake on Azure DataBricks. When you’re finished with this course, you’ll have the skills and knowledge of the importance of data masking, efficient encryption policies, management of key Vault, and policy-driven data lake architecture.

Table of contents

About the author

Tapan Ghatalia - Pluralsight course - Implement Data Auditing with Azure Data Lake
Tapan Ghatalia

Tapan has over a decade of work as a Cloud BI Architect/ Product Manager. He has profound experience in tools like Thoughtspot and Tableau and he has a deep interest in Quantum Computing and Quantum Machine Learning

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