• Online, Self-Paced

Data Warehousing allows you to fully manage and scale a cloud service solution. Data Warehousing topics such as data loading, distributed data, and hybrid data sources are covered in this course.

Learning Objectives

Introducing Data Warehousing

  • start the course
  • describe data warehousing
  • configure a data warehouse solution on Azure
  • migrate an on-premises database to SQL Data Warehouse
  • implement a data load strategy
  • demonstrate how to use data warehousing tools such as traditional SQL tools, cloud-based tools, and third-party tools
  • describe data warehouse workloads
  • describe distributed data
  • recognize steps to achieve optimal data warehouse performance using data warehouse units
  • describe how to best protect data in data warehousing
  • describe hybrid data sources such as PolyBase
  • recognize the importance of a service level agreement

Practice: Data Warehouse Solutions

  • demonstrate how to implement a data warehouse solution

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

  • Systems Development

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.