Data Engineering on Microsoft Azure: Securing Data

The final line of defense for protecting against a data breach is securing the data itself. With today 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.