Data Engineering on Microsoft Azure: Securing Data

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. The final line of defense for protecting against a data breach is securing the data itself. With today's cloud environments, data is often in transit, duplicated, and stored in various data centers around the world, making effective data protection a challenge. In this course, you'll explore the various methods available for encrypting data stored in SQL databases. You'll examine how to use DataFrames in Databricks, as well as how to implement Advanced Threat Protection and dynamic data masking in Azure databases. Finally, you'll learn how immutable blobs can be used to manage sensitive information. This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.