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.
Author Name: Tapan Ghatalia
Author Description:
Tapan has over a decade of work experience in Business Intelligence, Product Management and Cloud Architecture and has excellent command over languages like Python, Go and Scala. He has worked extensively in Data Analytics and with tools like Thoughtspot and Tableau. He has a deep interest in Quantum Computing and Quantum Mechanics leading him to work considerably on Quantum Computing libraries such as Qiskit and Cirq.

Table of Contents

• Course Overview
  1min
• Implementing Data Masking
  12mins
• Implementing Data Encryption and Authorization
  11mins
• Designing a Solution with Secure Endpoints
  9mins