• Online, Self-Paced

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.

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Network Services

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.