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.
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.
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
Course Overview Hi everyone. My name is Tapan. Welcome to my course, Implement Data Auditing with Azure Data Lake. I am a cloud business intelligence architect. Organizations these days sits on massive piles of data; hence, data governance and data security is of utmost concern. This course will introduce you to different types of data encryption and data masking capabilities and how to host secure endpoint using the Azure cloud portal. Some of the major topics that we will cover include data masking, data encryption, secure endpoints over cloud, and key benefits of endpoint security. By the end of this course, you will know the entire data auditing workflow and how to implement data security on Azure cloud while the data is at rest or in transit mode. I hope you will join me on this exciting journey to learn the importance of data security and governance with the Implement Data Auditing with Azure Data Lake course, at Pluralsight.