Understanding Data Lakes in AWS

Many organizations have implemented data lakes to great success, giving them a tactical business edge through the use of data analysis and predictive analytics.

This lesson covers the basics of data lakes, how they are different from data warehouses, and the components that make up a successful data lake.

Learning Objectives

• Understand the difference between data warehouses and data lakes
• Know what qualities make up a good data lake.
• Learn about AWS Lake Formation and how it can transform the process of creating a data lake from taking months to days

Intended Audience

This lesson is intended for anyone who is responsible for managing business data or for those interested in creating a data lake in general.

Prerequisites

To get the most out of this lesson, you should have a decent understanding of cloud computing and cloud architectures, specifically with Amazon Web Services.