Course details

Data Lake: Framework & Design Implementation

Data Lake: Framework & Design Implementation


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

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.



Expected Duration (hours)
0.6

Lesson 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
  • Course Number:
    it_dsdlipdj_01_enus

    Expertise Level
    Intermediate