Building Data Lakes on AWS Course Overview

The "Building Data lakes on AWS" course provides a comprehensive guide to creating, managing, and utilizing Data lakes on the AWS cloud platform. It is designed to help learners understand the value of Data lakes, differentiate them from data warehouses, and recognize the crucial components that make up a data lake. The course covers essential topics such as Data ingestion, Cataloging, preparation, and processing using a variety of AWS services, including AWS Glue, Amazon Athena, and AWS Lake Formation.

Learners will gain practical experience through hands-on labs, setting up a simple data lake, building a data lake with AWS Lake Formation, Automating data lake creation, and Data Visualization using Amazon QuickSight. By the end of the course, participants will have a solid understanding of building Data lakes on AWS, and will be equipped with the skills to build a data lake on AWS effectively, ensuring they can leverage the full potential of their data assets in the cloud.