• Online, Self-Paced

Discover how to design and implement data lakes in the cloud and on-premises using standard reference architectures and patterns that can help identify the proper data architecture.

Learning Objectives

Data Lake: Framework & Design Implementation

  • describe the architectural differences between data lakes and data warehouses
  • identify the features data lakes provide as a part of the enterprise architecture
  • recognize how to use data lakes to democratize data
  • identify the design considerations for data lakes
  • describe the architecture of AWS data lakes and their essential components
  • implement data lakes using AWS
  • recognize the prominent architectural styles used when implementing data lakes on-premises and on multiple cloud platforms
  • list the various frameworks that can be used to process data from data lakes
  • compare data lakes and data warehouses, specify data lake design patterns, and implement data lakes using AWS

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

  • Data Administration
  • Systems Architecture

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.