• Online, Self-Paced
Course Description

When working with big data, there needs to be a mechanism to process and transform this data quickly and efficiently. Azure Databricks is a service that provides the latest version of Apache Spark, which provides functionality for machine learning and data warehousing.

In this course, you'll learn about the features of Azure Databricks such as clusters, notebooks, and jobs. Next, you'll learn about autoscaling local storage when configuring clusters. Next, you'll explore how to create, manage, and configure Azure Databricks clusters, as well as how to create, open, use, and delete notebooks. Finally, you'll learn how to create, open, use, and delete jobs.

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.